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1
Yancey, Kathleen Blake. "Voices on Voice." College Composition and Communication 47, no. 1 (February 1996): 135. http://dx.doi.org/10.2307/358288.
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Kim, Hyo Chang, Min Chul Cha, and Yong Gu Ji. "The Impact of an Agent’s Voice in Psychological Counseling: Session Evaluation and Counselor Rating." Applied Sciences 11, no. 7 (March 24, 2021): 2893. http://dx.doi.org/10.3390/app11072893.
Повний текст джерелаАнотація:
As an agent delivers content during the communication between an artificial intelligence (AI) machine and a person, the voice of the agent is a crucial factor to be considered. Particularly in the fields of eHealth, the perception of users toward an agent is crucial as it significantly affects the communication between the agent and its patients, as well as the treatment results. Thus, this study examined the effects of the voice of an agent on the perception of users toward the agent and its counseling effects. This study developed a psychological counseling agent with four voices according to gender and age, communicated with the subjects through such agent, and measured the perception of users toward the agent and its counseling effects through a questionnaire. Results demonstrated that the female-voiced agent had a higher level of attractiveness than the male-voiced agent, regardless of the age of such voice, and the agent using an older voice had a higher level of expertness and depth than the agent using a younger voice, regardless of the gender of such voice. The findings of this study are expected to be effectively used to design a voice-based AI agent that considers the optimal voice according to the purpose of use.
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Morsberger, Katharine M. "Voices of Translation: Poet's Voice and Woman's Voice." Pacific Coast Philology 28, no. 1 (September 1993): 3. http://dx.doi.org/10.2307/1316419.
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Halliwell, Michael. "‘Voices within the Voice’: Conceiving Voice in Contemporary Opera." Musicology Australia 36, no. 2 (July 3, 2014): 254–72. http://dx.doi.org/10.1080/08145857.2014.958271.
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Sorrell, Eleanor, Mark Hayward, and Sara Meddings. "Interpersonal Processes and Hearing Voices: A Study of the Association Between Relating to Voices and Distress in Clinical and Non-Clinical Hearers." Behavioural and Cognitive Psychotherapy 38, no. 2 (November 2, 2009): 127–40. http://dx.doi.org/10.1017/s1352465809990506.
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Background:Previous research suggests that the distress experienced by clinical voice hearers is associated with the perceived relationship between voice and hearer, independent of beliefs about voices and depression.Aims:This study aimed to replicate these findings and generate further hypotheses by comparing the voice hearing experiences of clinical and non-clinical hearers.Method:A cross-sectional, quantitative design was employed and used between-subjects and correlational methods. Thirty-two clinical voice hearers and 18 non-clinical voice hearers were assessed using the PSYRATS, the Voice and You questionnaire, the Beliefs About Voices Questionnaire – Revised, and the Beck Depression Inventory-II.Results:For clinical voice hearers, distress was significantly associated with perceptions of the voice as dominating and intrusive, and hearers distancing themselves from the voice. However, these associations were not independent of beliefs about voices’ omnipotence or malevolence. Non-clinical voice hearers were significantly less distressed than clinical voice hearers and voices were perceived as less dominant, intrusive, malevolent and omnipotent. Non-clinical hearers were found to relate from a position of less distance to voices perceived as benevolent.Conclusions:Findings from previous research were only partially replicated. Clinically, the development of less maladaptive relationships between voice and voice hearer may reduce distress.
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ВАРЕЦЬКА, Софія, Світлана МАЦЕНКА, Діана МЕЛЬНИК та Ярина ТАРАСЮК. "Медійність голосу у драматичному тексті Лесі Українки". Studia Ucrainica Varsoviensia, № 11 (4 грудня 2023): 75–93. http://dx.doi.org/10.31338/2299-7237suv.11.5.
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Based on the theory of mediative nature of writing the article analyzes the dramatization of voices in Lesya Ukrainka’s dramatic poem Cassandra (1907). The analysis of the text revealed that the author uses voices to create unique characters’ portraits, she skillfully introduces voice gestures, plays with voice masks. Different types of voices have been outlined in Lesya Ukrainka’s text and characterized in the article: the author’s voice, voice of the text, voice of silence, prophetic voice, cry voice, singing voice. Considering the ideas expressed by the researchers in the fi eld of the theory of writing and voice mediality, it has been pointed out that Lesya Ukrainka uses voices not just as a medium but also, she focuses on their physicality, emotionality, gesture nature, and performativity that plays a significant role for representing a tragic cognition in the poem.
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Robson, George, and Oliver Mason. "Interpersonal Processes and Attachment in Voice-Hearers." Behavioural and Cognitive Psychotherapy 43, no. 6 (April 29, 2014): 655–68. http://dx.doi.org/10.1017/s1352465814000125.
Повний текст джерелаАнотація:
Background: Studies of both clinical and non-clinical voice hearers suggest that distress is rather inconsistently associated with the perceived relationship between voice and hearer. It is also not clear if their beliefs about voices are relevant. Aims: This study investigated the links between attachment anxiety/avoidance, interpersonal aspects of the voice relationship, and distress whilst considering the impact of beliefs about voices and paranoia. Method: Forty-four voice-hearing participants completed a number of self-report measures tapping attachment, interpersonal processes in the voice relationship, beliefs about voices, paranoia, distress and depression. Results: Attachment avoidance was related to voice intrusiveness, hearer distance and distress. Attachment anxiety was related to voice intrusiveness, hearer dependence and distress. A series of simple mediation analyses were conducted that suggest that the relationship between attachment and voice related distress may be mediated by interpersonal dynamics in the voice-hearer relationship, beliefs about voices and paranoia. Conclusions: Beliefs about voices, the hearer's relationship with their voices, and the distress voices sometimes engender appear to be meaningfully related to their attachment style. This may be important to consider in therapeutic work.
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Grillo, Elizabeth U. "A Nonrandomized Trial for Student Teachers of an In-Person and Telepractice Global Voice Prevention and Therapy Model With Estill Voice Training Assessed by the VoiceEvalU8 App." American Journal of Speech-Language Pathology 30, no. 2 (March 26, 2021): 566–83. http://dx.doi.org/10.1044/2020_ajslp-20-00200.
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Purpose This study investigated the effects of the in-person and telepractice Global Voice Prevention and Therapy Model (GVPTM) treatment conditions and a control condition with vocally healthy student teachers. Method In this single-blinded, nonrandomized trial, 82 participants completed all aspects of the study. Estill Voice Training was used as the stimulability component of the GVPTM to train multiple new voices meeting all the vocal needs of the student teachers. Outcomes were assessed using acoustic, perceptual, and aerodynamic measures captured by the VoiceEvalU8 app at pre and post in fall and during student teaching in spring. Results Significant improvements were achieved for several acoustic and perceptual measures in the treatment conditions, but not in the control condition. The in-person and telepractice conditions produced similar results. The all-voiced phrase and connected speech were more successful in demonstrating voice change for some of the perturbation measures as compared to sustained /a/. Conclusions The treatment conditions were successful in improving the participants' voices for fundamental frequency and some acoustic perturbation measures while maintaining the improvements during student teaching. In addition, the treatment conditions were successful in decreasing the negative impact of voice-related quality of life and vocal fatigue during student teaching. Future research should address the effectiveness of the various components of the GVPTM, the application of the GVPTM with patients with voice disorders, the relevance of defining auditory–perceptual terms by the anatomy and physiology of the voice production system (i.e., Estill Voice Training), and the continued use of the VoiceEvalU8 app for clinical voice investigations. Supplemental Material https://doi.org/10.23641/asha.13626824
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Schlier, Björn, Xenia Sitara, Clara Strauss, Aikaterini Rammou, Tania M. Lincoln, and Mark Hayward. "Can Gender Differences in Distress Due to Difficult Voices Be Explained by Differences in Relating?" Cognitive Therapy and Research 45, no. 4 (January 22, 2021): 831–39. http://dx.doi.org/10.1007/s10608-020-10190-5.
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Abstract Background Research on gender differences has found that women relate to negative voice hearing experiences with more negative emotions and report more distress due to voices, which may be rooted in differences in relating to voices. This study used a robust methodology and a large sample to explore gender differences in relating to voices and voice distress. Methods Matched samples of male (n = 124) and female (n = 124) voice hearers were drawn from a survey for secondary analysis. Voice severity (e.g., frequency or loudness), voice distress, and different types of dysfunctional (i.e., passive or aggressive) and functional (assertive) relating were measured. Group comparisons, mediation models, and network analyses were calculated. Results Female voice hearers reported more severe voices, more voice distress, more passive, and less assertive relating. Mediation and network analyses yielded evidence for pathways from gender to voice distress via relating and via differences in voice severity. Conclusion Gender differences in the emotional impact of voices can be partially explained by relating behavior. Psychological interventions for voice hearing could be optimized by exploring the influence of gender in the emergence of distressing voices. Nevertheless, gender differences need to be treated as one of several different possible mechanisms when working with individual patients.
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Peters, E. R., S. L. Williams, M. A. Cooke, and E. Kuipers. "It's not what you hear, it's the way you think about it: appraisals as determinants of affect and behaviour in voice hearers." Psychological Medicine 42, no. 7 (November 25, 2011): 1507–14. http://dx.doi.org/10.1017/s0033291711002650.
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BackgroundPrevious studies have suggested that beliefs about voices mediate the relationship between actual voice experience and behavioural and affective response.MethodWe investigated beliefs about voice power (omnipotence), voice intent (malevolence/benevolence) and emotional and behavioural response (resistance/engagement) using the Beliefs About Voices Questionnaire – Revised (BAVQ-R) in 46 voice hearers. Distress was assessed using a wide range of measures: voice-related distress, depression, anxiety, self-esteem and suicidal ideation. Voice topography was assessed using measures of voice severity, frequency and intensity. We predicted that beliefs about voices would show a stronger association with distress than voice topography.ResultsOmnipotence had the strongest associations with all measures of distress included in the study whereas malevolence was related to resistance, and benevolence to engagement. As predicted, voice severity, frequency and intensity were not related to distress once beliefs were accounted for.ConclusionsThese results concur with previous findings that beliefs about voice power are key determinants of distress in voice hearers, and should be targeted specifically in psychological interventions.
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Gour, Mr G. B., and Dr V. Udayashankara. "Voice Activity Detection and Pitch analysis in Pathological Voices." International Journal of Trend in Scientific Research and Development Volume-1, Issue-5 (August 31, 2017): 423–28. http://dx.doi.org/10.31142/ijtsrd2324.
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Simanjuntak, Herlina Lindaria. "The Translation of English Passive Voice into Indonesian." TEKNOSASTIK 17, no. 1 (April 6, 2019): 40. http://dx.doi.org/10.33365/ts.v17i1.231.
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English and Indonesian have different grammatical patterns and cultural values. That is why, many problems that students studying translation subject have to face. One of them is how to translate English Passive Voice into Indonesian. That is the reason the writer aims to do the research. The research is to describe the translation of English passive voice into Indonesian by analyzing two novels, which are Kristan Higgins’ Waiting on You and its translation Nina Andiana’s Penantian Terpanjang. This research uses qualitative method. The writer collected, identified, the data concerning with the translation of English passive voice. The results of the research shows that there are two categories of translating English passive voice into Indonesian, namely English passive voice can be translated both into Indonesian passive voice and English passive voice can be translated into Indonesian active voice. English passive voice is translated into Indonesian passive voice by using prefixes di- and ter-, meanwhile English passive voice is translated into Indonesian active voice by using prefixes me-, men-, and ber-. From forty one data which are identified there are 32 data (78.04%) of English passive voices translated into Indonesian passive voices and 9 data (21.96%) of English passive voices translated into Indonesian active voices.
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Newland, Jane. "Toward a Zeroth Voice: Theorizing Voice in Children’s Literature with Deleuze." Jeunesse: Young People, Texts, Cultures 1, no. 2 (December 2009): 10–34. http://dx.doi.org/10.3138/jeunesse.1.2.10.
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Drawing on the theories of Gilles Deleuze, this paper explores the rhizome of voices in children’s texts and postulates that voice may be considered as something created through a Deleuzian becoming. Looking in turn at the coming together of book and reader, this rhizome of voices, and the complexity of authorship of children’s literature, this paper shows how the simulacral nature of voices present in children’s literature can lead to what Deleuze terms a collective assemblage of enunciation with its own voice, a zeroth voice. It is my contention that this zeroth voice liberates the reader from all the voices present in the creation of the text.
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Bicer, Ada, Deniz Baskent, Carolyn McGettigan, and Thomas Koelewijn. "The effect of explicit and implicit voice training on speech-on-speech intelligibility and listening effort." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A330. http://dx.doi.org/10.1121/10.0019036.
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Listening to familiar voices might improve intelligibility of target speech in multiple-talker situations. In addition to personally familiar voices, voice training—through implicit exposure or explicit learning of a previously unheard voice—can improve speech intelligibility. However, there is no consensus on which method is more effective. We investigated the effect of explicit and implicit voice training on speech-on-speech perception and listening effort (pupillometry), among normal hearing listeners. There was no significant difference in speech intelligibility performance between trained and untrained voices, with either voice training method. However, an interaction between voice training method and target-to-masker ratio (TMR) on accuracy scores showed that the benefit of increased TMR on accuracy scores was significantly larger when voice training was implicit compared to explicit. Pupillometry results showed that explicit voice training significantly reduced listening effort for most disadvantageous TMR (−6dB), but not for more advantageous TMRs (0 and + 6 dB), and not for implicitly trained voices. Our results may imply that explicit voice training is more effective than implicit voice training in reducing listening effort. Still, implicit voice training, perhaps via procedural learning, might be more beneficial on the performance level when TMR becomes more advantageous.
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Sun, YuXiang, Lili Ming, Jiamin Sun, FeiFei Guo, Qiufeng Li, and Xueping Hu. "Brain mechanism of unfamiliar and familiar voice processing: an activation likelihood estimation meta-analysis." PeerJ 11 (March 13, 2023): e14976. http://dx.doi.org/10.7717/peerj.14976.
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Interpersonal communication through vocal information is very important for human society. During verbal interactions, our vocal cord vibrations convey important information regarding voice identity, which allows us to decide how to respond to speakers (e.g., neither greeting a stranger too warmly or speaking too coldly to a friend). Numerous neural studies have shown that identifying familiar and unfamiliar voices may rely on different neural bases. However, the mechanism underlying voice identification of individuals of varying familiarity has not been determined due to vague definitions, confusion of terms, and differences in task design. To address this issue, the present study first categorized three kinds of voice identity processing (perception, recognition and identification) from speakers with different degrees of familiarity. We defined voice identity perception as passively listening to a voice or determining if the voice was human, voice identity recognition as determining if the sound heard was acoustically familiar, and voice identity identification as ascertaining whether a voice is associated with a name or face. Of these, voice identity perception involves processing unfamiliar voices, and voice identity recognition and identification involves processing familiar voices. According to these three definitions, we performed activation likelihood estimation (ALE) on 32 studies and revealed different brain mechanisms underlying processing of unfamiliar and familiar voice identities. The results were as follows: (1) familiar voice recognition/identification was supported by a network involving most regions in the temporal lobe, some regions in the frontal lobe, subcortical structures and regions around the marginal lobes; (2) the bilateral superior temporal gyrus was recruited for voice identity perception of an unfamiliar voice; (3) voice identity recognition/identification of familiar voices was more likely to activate the right frontal lobe than voice identity perception of unfamiliar voices, while voice identity perception of an unfamiliar voice was more likely to activate the bilateral temporal lobe and left frontal lobe; and (4) the bilateral superior temporal gyrus served as a shared neural basis of unfamiliar voice identity perception and familiar voice identity recognition/identification. In general, the results of the current study address gaps in the literature, provide clear definitions of concepts, and indicate brain mechanisms for subsequent investigations.
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Karande, Pramod, Shubham Borchate, Bhavesh Chaudhary, and Prof Deveshree Wankhede. "Virtual Desktop Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 1916–20. http://dx.doi.org/10.22214/ijraset.2022.41024.
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Abstract: Voice Assistants are becoming immensely popular feature that has changed the way user interact with devices. Voice assistants are used in many devices like mobile phones, laptops. These voice assistants are based on Artificial-Intelligence and Natural Language Processing. They take human voices as input and give output in integrated voices. This voice assistant takes voice through microphone, we have used libraries like pyttsx3 to convert text-to-speech. Keywords: Voice Assistant, python, pyttsx3, Artificial Intelligence, Speech Recognition
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Cambouropoulos, Emilios. "Voice And Stream: Perceptual And Computational Modeling Of Voice Separation." Music Perception 26, no. 1 (September 1, 2008): 75–94. http://dx.doi.org/10.1525/mp.2008.26.1.75.
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LISTENERS ARE THOUGHT TO BE CAPABLE of perceiving multiple voices in music. This paper presents different views of what 'voice' means and how the problem of voice separation can be systematically described, with a view to understanding the problem better and developing a systematic description of the cognitive task of segregating voices in music. Well-established perceptual principles of auditory streaming are examined and then tailored to the more specific problem of voice separation in timbrally undifferentiated music. Adopting a perceptual view of musical voice, a computational prototype is developed that splits a musical score (symbolic musical data) into different voices. A single 'voice' may consist of one or more synchronous notes that are perceived as belonging to the same auditory stream. The proposed model is tested against a small dataset that acts as ground truth. The results support the theoretical viewpoint adopted in the paper.
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Huron, David, and Deborah A. Fantini. "The Avoidance of Inner-Voice Entries: Perceptual Evidence and Musical Practice." Music Perception 7, no. 1 (1989): 43–47. http://dx.doi.org/10.2307/40285447.
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Experimental evidence has shown that entries of inner voices are more difficult to perceive than entries of outer voices in multivoiced music. A study of voice entries in 75 fugues by J. S. Bach shows no significant avoidance of inner-voice entries in three- and four-voice textures. However, in the case of five-voice textures, Bach does demonstrate a significant reluctance to have a voice enter in an inner-voice position. This finding is consistent with the hypothesis that Bach endeavors to minimize perceptual confusion in his polyphonic works as the textural density increases.
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Dzulfikar, Helmy, Sisdarmanto Adinandra, and Erika Ramadhani. "The Comparison of Audio Analysis Using Audio Forensic Technique and Mel Frequency Cepstral Coefficient Method (MFCC) as the Requirement of Digital Evidence." Jurnal Online Informatika 6, no. 2 (December 26, 2021): 145. http://dx.doi.org/10.15575/join.v6i2.702.
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Audio forensics is the application of science and scientific methods in handling digital evidence in the form of audio. In this regard, the audio supports the disclosure of various criminal cases and reveals the necessary information needed in the trial process. So far, research related to audio forensics is more on human voices that are recorded directly, either by using a voice recorder or voice recordings on smartphones, which are available on Google Play services or iOS Store. This study compares the analysis of live voices (human voices) with artificial voices on Google Voice and other artificial voices. This study implements the audio forensic analysis, which involves pitch, formant, and spectrogram as the parameters. Besides, it also analyses the data by using feature extraction using the Mel Frequency Cepstral Coefficient (MFCC) method, the Dynamic Time Warping (DTW) method, and applying the K-Nearest Neighbor (KNN) algorithm. The previously made live voice recording and artificial voice are then cut into words. Then, it tests the chunk from the voice recording. The testing of audio forensic techniques with the Praat application obtained similar words between live and artificial voices and provided 40,74% accuracy of information. While the testing by using the MFCC, DTW, KNN methods with the built systems by using Matlab, obtained similar word information between live voice and artificial voice with an accuracy of 33.33%.
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Zäske, Romi, Jürgen M. Kaufmann, and Stefan R. Schweinberger. "Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces." Brain Sciences 13, no. 4 (April 7, 2023): 637. http://dx.doi.org/10.3390/brainsci13040637.
Повний текст джерелаАнотація:
Recognizing people from their voices may be facilitated by a voice’s distinctiveness, in a manner similar to that which has been reported for faces. However, little is known about the neural time-course of voice learning and the role of facial information in voice learning. Based on evidence for audiovisual integration in the recognition of familiar people, we studied the behavioral and electrophysiological correlates of voice learning associated with distinctive or non-distinctive faces. We repeated twelve unfamiliar voices uttering short sentences, together with either distinctive or non-distinctive faces (depicted before and during voice presentation) in six learning-test cycles. During learning, distinctive faces increased early visually-evoked (N170, P200, N250) potentials relative to non-distinctive faces, and face distinctiveness modulated voice-elicited slow EEG activity at the occipito–temporal and fronto-central electrodes. At the test, unimodally-presented voices previously learned with distinctive faces were classified more quickly than were voices learned with non-distinctive faces, and also more quickly than novel voices. Moreover, voices previously learned with faces elicited an N250-like component that was similar in topography to that typically observed for facial stimuli. The preliminary source localization of this voice-induced N250 was compatible with a source in the fusiform gyrus. Taken together, our findings provide support for a theory of early interaction between voice and face processing areas during both learning and voice recognition.
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Schweinberger, Stefan R., Anja Herholz, and Volker Stief. "Auditory Long term Memory: Repetition Priming of Voice Recognition." Quarterly Journal of Experimental Psychology Section A 50, no. 3 (August 1997): 498–517. http://dx.doi.org/10.1080/713755724.
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Two experiments examined repetition priming in the recognition of famous voices. In Experiment 1, reaction times for fame decisions to famous voice samples were shorter than in an unprimed condition, when voices were primed by a different voice sample of the same person having been presented in an earlier phase of the experiment. No effect of voice repetition was observed for non-famous voices. In Experiment 2, it was investigated whether this priming effect is voice-specific or whether it is related to post-perceptual processes in person recognition. Recognizing a famous voice was again primed by having earlier heard a different voice sample of that person. Although an earlier exposure to that person's name did not cause any priming, there was some indication of priming following an earlier exposure to that person's face. Finally, earlier exposure to the identical voice sample (as compared to a different voice sample from the same person) caused a considerable bias towards responding “famous”—i.e. performance benefits for famous but costs for nonfamous voices. The findings suggest that (1) repetition priming invoice recognition primarily involves the activation of perceptual representations of voices, and (2) it is important to determine the conditions in which priming causes bias effects that need to be disentangled from performance benefits.
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Hargreaves, Andy. "Revisiting Voice." Educational Researcher 25, no. 1 (January 1996): 12–19. http://dx.doi.org/10.3102/0013189x025001012.
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Drawing on case vignettes of teachers at work, this article revisits how to conceptualize and represent teachers' voices and the teacher's voice in educational research, and in dialogue about educational change more generally. Though the article argues that representing and sponsoring teachers' voices should remain an important research priority, it also criticizes how much of the literature in this area selects and portrays particular teacher voices as exemplary or generic voices. The literature on teachers' voices has tended to represent them in a decontextualized way—in isolation from other (dissimilar) teachers, from the contexts of teaching which give rise to those voices, and from other (nonteacher) voices that also have legitimate if sometimes discrepant things to say about teaching and learning The result has been that the teacher's voice has often been unduly romanticized. More comparative and contextualized studies of teachers' voices, and of other voices alongside them, it is argued, would avoid such dangers of romanticization.
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Davenport, Brittany, Mike Jackson, James A. Grange, and Michelle Rydon-Grange. "Beliefs about voices in voice-hearers: the role of schema functioning." Behavioural and Cognitive Psychotherapy 48, no. 5 (June 29, 2020): 584–97. http://dx.doi.org/10.1017/s1352465820000399.
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AbstractBackground:Evidence is emerging that beliefs about voices are influenced by broader schematic beliefs about the self and others. Similarly, studies indicate that the relationship an individual has with their voice may mirror wider patterns of relating observed in social relationships, which may be influenced by schematic beliefs.Aims:This study examined associations between beliefs about voices and self and other schemas. Furthermore, associations between schemas and the perceived relationship between the hearer and their predominant voice were explored.Method:Forty-four voice-hearing participants were recruited across mental health services. Participants completed self-report measures of beliefs about voices, schema functioning, and relating between the hearer and their voice. Dimensions of voice experience, such as frequency and content, were assessed using a clinician-rated scale.Results:Beliefs about voices correlated with negative voice content and schemas. After controlling for negative voice content, schemas were estimated to predict between 1 and 17% of the variance in the six measured beliefs about voices; three of the associations reached statistical significance. Negative-self schema were the strongest predictors of beliefs about voices, whilst positive-self also showed potential relationships. Schemas also correlated with dimensions of relating between the hearer and their voice.Conclusions:In line with previous research, this study provides evidence that schemas, particularly self-schema, may be important in the development of beliefs about voices. This study offers preliminary findings to suggest that schemas are also associated with the perceived relationship between the hearer and their voice.
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Liu, Boquan, Evan Polce, Hayley Raj, and Jack Jiang. "Quantification of Voice Type Components Present in Human Phonation Using a Modified Diffusive Chaos Technique." Annals of Otology, Rhinology & Laryngology 128, no. 10 (May 14, 2019): 921–31. http://dx.doi.org/10.1177/0003489419848451.
Повний текст джерелаАнотація:
Purpose: Signal typing has been used to categorize healthy and disordered voices; however, human voices are likely comprised of differing proportions of periodic type 1 elements, type 2 elements that are periodic with modulations, aperiodic type 3 elements, and stochastic type 4 elements. A novel diffusive chaos method is presented to detect the distribution of voice types within a signal with the goal of providing an objective and clinically useful tool for evaluating the voice. It was predicted that continuous calculation of the diffusive chaos parameter throughout the voice sample would allow for construction of comprehensive voice type component profiles (VTCP). Methods: One hundred thirty-five voice samples of sustained /a/ vowels were randomly selected from the Disordered Voice Database Model 4337. All samples were classified according to the voice type paradigm using spectrogram analysis, yielding 34 type 1, 35 type 2, 42 type 3, and 24 type 4 voice samples. All samples were then analyzed using the diffusive chaos method, and VTCPs were generated to show the distribution of the 4 voice type components (VTC). Results: The proportions of VTC1 varied significantly between the majority of the traditional voice types ( P < .001). Three of the 4 VTCs of type 3 voices were significantly different from the VTCs of type 4 voices ( P < .001). These results were compared to calculations of spectrum convergence ratio, which did not vary significantly between voice types 1 and 2 or 2 and 3. Conclusion: The diffusive chaos method demonstrates proficiency in generating comprehensive VTCPs for disordered voices with varying severity. In contrast to acoustic parameters that provide a single measure of disorder, VTCPs can be used to detect subtler changes by observing variations in each VTC over time. This method also provides the advantage of quantifying stochastic noise components that are due to breathiness in the voice.
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Holmes, Emma, Grace To, and Ingrid S. Johnsrude. "How Long Does It Take for a Voice to Become Familiar? Speech Intelligibility and Voice Recognition Are Differentially Sensitive to Voice Training." Psychological Science 32, no. 6 (May 12, 2021): 903–15. http://dx.doi.org/10.1177/0956797621991137.
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When people listen to speech in noisy places, they can understand more words spoken by someone familiar, such as a friend or partner, than someone unfamiliar. Yet we know little about how voice familiarity develops over time. We exposed participants ( N = 50) to three voices for different lengths of time (speaking 88, 166, or 478 sentences during familiarization and training). These previously heard voices were recognizable and more intelligible when presented with a competing talker than novel voices—even the voice previously heard for the shortest duration. However, recognition and intelligibility improved at different rates with longer exposures. Whereas recognition was similar for all previously heard voices, intelligibility was best for the voice that had been heard most extensively. The speech-intelligibility benefit for the most extensively heard voice (10%–15%) is as large as that reported for voices that are naturally very familiar (friends and spouses)—demonstrating that the intelligibility of a voice can be improved substantially after only an hour of training.
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Taivalkoski-Shilov, Kristiina. "Friday in Finnish." Target. International Journal of Translation Studies 27, no. 1 (February 9, 2015): 58–74. http://dx.doi.org/10.1075/target.27.1.03tai.
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This article is based on a case study of intra- and extratextual voices in six different Finnish retranslations of Daniel Defoe’s Robinson Crusoe. Voice is understood here as the set of textual cues characterizing a subjective or collective identity in a text. The author focuses on what is special about voice in retranslation and how intratextual (a character’s voice) and extratextual voices (translators’ and publishers’ voices) might be related in retranslation. The analysis indicates that a character’s voice as a whole can reflect the retranslator’s voice and the purpose of his/her translation. In addition, translators’ voices can recirculate in retranslation, but they do not necessarily do so if the purpose of the translation, the translator’s choice of source texts, or translation ethics prevents this.
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Di Cesare, Michele Giuseppe, David Perpetuini, Daniela Cardone, and Arcangelo Merla. "Assessment of Voice Disorders Using Machine Learning and Vocal Analysis of Voice Samples Recorded through Smartphones." BioMedInformatics 4, no. 1 (February 19, 2024): 549–65. http://dx.doi.org/10.3390/biomedinformatics4010031.
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Background: The integration of edge computing into smart healthcare systems requires the development of computationally efficient models and methodologies for monitoring and detecting patients’ healthcare statuses. In this context, mobile devices, such as smartphones, are increasingly employed for the purpose of aiding diagnosis, treatment, and monitoring. Notably, smartphones are widely pervasive and readily accessible to a significant portion of the population. These devices empower individuals to conveniently record and submit voice samples, thereby potentially facilitating the early detection of vocal irregularities or changes. This research focuses on the creation of diverse machine learning frameworks based on vocal samples captured by smartphones to distinguish between pathological and healthy voices. Methods: The investigation leverages the publicly available VOICED dataset, comprising 58 healthy voice samples and 150 samples from voices exhibiting pathological conditions, and machine learning techniques for the classification of healthy and diseased patients through the employment of Mel-frequency cepstral coefficients. Results: Through cross-validated two-class classification, the fine k-nearest neighbor exhibited the highest performance, achieving an accuracy rate of 98.3% in identifying healthy and pathological voices. Conclusions: This study holds promise for enabling smartphones to effectively identify vocal disorders, offering a multitude of advantages for both individuals and healthcare systems, encompassing heightened accessibility, early detection, and continuous monitoring.
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Zoghaib, Alice. "The contribution of a brand spokesperson’s voice to consumer-based brand equity." Journal of Product & Brand Management 26, no. 5 (August 21, 2017): 492–502. http://dx.doi.org/10.1108/jpbm-06-2016-1230.
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Purpose This paper aims to explore the characteristics of a brand spokesperson’s voice that are the most valuable for consumer-based brand equity (CBBE) and evaluates various explanations in previous research regarding the influences of a speaker’s voice. Design/methodology/approach Brand identities can transfer their associations and affect as well as influence brand recall, thus contributing to CBBE. In addition, the pitch and gender of a speaker’s voice are considered as key characteristics of voice perception. This experimental study exposed 521 respondents to 12 different voices and measured the effects of a spokesperson’s voice pitch and gender on associations, attitude toward the voice and brand recall. Findings This study presents a model that explains the influence of a brand spokesperson’s voice on CBBE. The findings show that low-pitched voices induced distinctive, positive associations and led to a more positive attitude toward the voice and greater brand recall, regardless of the gender of the spokesperson and that of the respondent. Moreover, voice associations partially mediated the effects on attitude toward the voice and completely mediated the effects on brand recall. Originality/value While numerous brands have resorted to specific voices to represent themselves, brand spokesperson’s voice and its associations have not been studied. This study highlights the importance of a spokesperson’s voice pitch and its associations in building CBBE and nuances the roles of spokespersons’ and respondents’ gender.
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De Vries, Raymond G. "Midwives, Obstetrics, Fear, and Trust: A Four-Part Invention." Journal of Perinatal Education 21, no. 1 (2012): 9–10. http://dx.doi.org/10.1891/1058-1243.21.1.9.
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When done well, maternity care brings together four “voices”: the voice of midwifery, which sees birth as a healthy physiological process; the voice of obstetrics, which can manage pathology; the voice of fear (or respect), which encourages vigilance; and the voice of trust, which allows a woman to have confidence in herself and her caregivers. Our goal is to keep these voices singing in harmony.
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Steinhauer, Kimberly. "The Estill Voice Model: A paradigm for voice training and treatment." Journal of the Acoustical Society of America 154, no. 4_supplement (October 1, 2023): A352—A353. http://dx.doi.org/10.1121/10.0023770.
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For over 40 years, the Estill Voice Model (EVM) has defined voice quality according to movement of anatomy and physiology. EVM addresses the daunting degrees of freedom issue in voice motor control by isolating Craft of voice production from Artistry and Performance Metaphysics. The EVM proposes an integrated implicit-explicit approach for voice motor learning that flows through all training and therapy protocols. Implicit instructions include auditory-perceptual prompts (e.g., quack like a duck to produce “twang”) and explicit prompts train physiologic conditions of the vocal anatomy correlated with the voice quality (e.g., narrow your aryepiglottic sphincter to produce “twang”). Estill exercises address power, source, and filter properties of voice production, and include narrowing the aryepiglottic sphincter for “ring” in opera and belt and for increased power in hypofunctional voices, and varying vocal fold mass for register shifts and optimizing contact for hyperfunctional voices. Patients learn to feel, see, and hear the voice via multiple feedback modes including hand gestures, magnitude estimation of bodily kinesthetic effort, visual acoustic cues in real-time spectral analysis programs. This presentation will highlight objective measurement science and clinical evidence for using Estill exercises in treatment for all voices, from the novice speaker to the expert performer.
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Zoghaib, Alice. "Persuasion of voices: The effects of a speaker’s voice characteristics and gender on consumers’ responses." Recherche et Applications en Marketing (English Edition) 34, no. 3 (March 11, 2019): 83–110. http://dx.doi.org/10.1177/2051570719828687.
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Voices are present in most communications. Yet, the literature on voice persuasion is astonishingly limited and fragmented, focusing on certain voice characteristics (e.g. pitch), contexts, and providing mixed results. This research attempts to integrate the various constructs and mechanisms involved in voice persuasion as a result of the cross-fertilization of the disciplines having studied voice (psychoacoustics, cognitive psychology, anthropology, psycho-sociology, marketing, and politics). Study 1 manipulates via acoustic software the key voice characteristics (i.e. pitch, roughness, and brightness) and gender of a speaker heard in a radio advertisement for a neutral, non-gendered product category. Study 2 explores a potential boundary condition of the effects of voice, the presence of context-specific expectations toward the speaker (i.e. gender and competence level), by manipulating the voice of a political candidate. The effects of the voice characteristics are consistent in both contexts: speakers with low- (vs high-) pitched, dull (vs bright), and smooth (vs rough) voices are the most effective. Speakers with high-pitched, dull, and smooth voices are perceived as the most competent. Finally, speaker gender plays a secondary persuasive role; listener gender only plays a role in the absence of context-specific expectations toward the speaker. Implications for voice and speaker persuasion as well as for voice casting and coaching are discussed.
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Klimenko, Sergei. "Criteria for establishing the inventory of semantic participants and voices in Tagalog." Studies in Language 43, no. 1 (June 12, 2019): 1–43. http://dx.doi.org/10.1075/sl.17056.kli.
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Abstract The number of different voice constructions is controversial in Philippine linguistics. There are two approaches to establishing the voice inventory: (1) based on the number of voice affixes; (2) based on semantics of constructions, using opaque definitions of roles without any formal basis. Tagalog data supports neither approach. Many verbal roots form voice paradigms of up to seven members. The ungroundedness in any formal properties in the second approach often leads to different sets of voices with significant subjective variation. This paper suggests employing formal criteria for establishing an exhaustive inventory of semantic roles and voices in Tagalog: (1) Distinct marking in non-subject position; (2) co-occurrence of voice forms in paradigms; (3) co-occurrence of participants in constructions; (4) existence of a co-referential voice form. 16 participants and 13 voices are established in Tagalog, using the suggested criteria, which also provide a possibility for creating a typology of Philippine voice inventories.
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Adam-Darque, Alexandra, Marie P. Pittet, Frédéric Grouiller, Tonia A. Rihs, Russia Ha-Vinh Leuchter, François Lazeyras, Christoph M. Michel, and Petra S. Hüppi. "Neural Correlates of Voice Perception in Newborns and the Influence of Preterm Birth." Cerebral Cortex 30, no. 11 (June 9, 2020): 5717–30. http://dx.doi.org/10.1093/cercor/bhaa144.
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Abstract Maternal voice is a highly relevant stimulus for newborns. Adult voice processing occurs in specific brain regions. Voice-specific brain areas in newborns and the relevance of an early vocal exposure on these networks have not been defined. This study investigates voice perception in newborns and the impact of prematurity on the cerebral processes. Functional magnetic resonance imaging (fMRI) and high-density electroencephalography (EEG) were used to explore the brain responses to maternal and stranger female voices in full-term newborns and preterm infants at term-equivalent age (TEA). fMRI results and the EEG oddball paradigm showed enhanced processing for voices in preterms at TEA than in full-term infants. Preterm infants showed additional cortical regions involved in voice processing in fMRI and a late mismatch response for maternal voice, considered as a first trace of a recognition process based on memory representation. Full-term newborns showed increased cerebral activity to the stranger voice. Results from fMRI, oddball, and standard auditory EEG paradigms highlighted important change detection responses to novelty after birth. These findings suggest that the main components of the adult voice-processing networks emerge early in development. Moreover, an early postnatal exposure to voices in premature infants might enhance their capacity to process voices.
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Dlamini, Boy Bongani. "Currere on the rescue: exploring teachers voices that shape teachers’ actions and identities." International Journal of Research in Business and Social Science (2147- 4478) 12, no. 7 (October 28, 2023): 492–503. http://dx.doi.org/10.20525/ijrbs.v12i7.2765.
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Exploring teachers’ voices in curriculum spaces is critical. As enactors of the curriculum, teachers need to reflect and critique their teaching actions in order to recognize voices that summon their actions. The study employed the currere curriculum model to engage Eight (8) geography teachers purposively selected from four (4) high schools in Eswatini. The aim was to explore the teachers’ voices that shape their actions and identities. The qualitative approach under the pragmatic paradigm and the educational design research guided the study. To generate data, semi-structured interviews, reflective activities and focus group discussions were used. Guided/thematic data analysis was used. The findings revealed that two (2) giant voices dominate and drive teachers’ actions: professional and societal voices. These two voices are in constant tension, resulting to the loss of teacher’s personal voice and identity. In essence, the tension causes teachers’ voices to be silenced or absent in curriculum enactment spaces. It was discovered that it was possible to sort the tension between the two giant voices through applying currere reflective moments, that would develop a neutral voice, the personal voice of teachers, thus a theory of teachers’ voices developed. The study concluded that teachers should identify strengths of both societal and professional voices to relieve the tension between the two and embrace teachers’ personal voices which are critical for understanding natural identities and for effective curriculum enactment. Key Words: Teacher’s voices, professional voice, societal voice, personal voice, currere, teacher’s identity
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Restrepo, Juan F., and Gastón Schlotthauer. "Invariant Measures Based on the U-Correlation Integral: An Application to the Study of Human Voice." Complexity 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/2173640.
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Nonlinear measures such as the correlation dimension, the correlation entropy, and the noise level were used in this article to characterize normal and pathological voices. These invariants were estimated through an automated algorithm based on the recently proposed U-correlation integral. Our results show that the voice dynamics have a low dimension. The value of correlation dimension is greater for pathological voices than for normal ones. Furthermore, its value also increases along with the type of the voice. The low correlation entropy values obtained for normal and pathological type 1 and type 2 voices suggest that their dynamics are nearly periodic. Regarding the noise level, in the context of voice signals, it can be interpreted as the power of an additive stochastic perturbation intrinsic to the voice production system. Our estimations suggest that the noise level is greater for pathological voices than for normal ones. Moreover, it increases along with the type of voice, being the highest for type 4 voices. From these results, we can conclude that the voice production dynamical system is more complex in the presence of a pathology. In addition, the presence of the inherent stochastic perturbation strengthens along with the voice type. Finally, based on our results, we propose that the noise level can be used to quantitatively differentiate between type 3 and type 4 voices.
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Plante-Hébert, Julien, Victor J. Boucher, and Boutheina Jemel. "The processing of intimately familiar and unfamiliar voices: Specific neural responses of speaker recognition and identification." PLOS ONE 16, no. 4 (April 16, 2021): e0250214. http://dx.doi.org/10.1371/journal.pone.0250214.
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Research has repeatedly shown that familiar and unfamiliar voices elicit different neural responses. But it has also been suggested that different neural correlates associate with the feeling of having heard a voice and knowing who the voice represents. The terminology used to designate these varying responses remains vague, creating a degree of confusion in the literature. Additionally, terms serving to designate tasks of voice discrimination, voice recognition, and speaker identification are often inconsistent creating further ambiguities. The present study used event-related potentials (ERPs) to clarify the difference between responses to 1) unknown voices, 2) trained-to-familiar voices as speech stimuli are repeatedly presented, and 3) intimately familiar voices. In an experiment, 13 participants listened to repeated utterances recorded from 12 speakers. Only one of the 12 voices was intimately familiar to a participant, whereas the remaining 11 voices were unfamiliar. The frequency of presentation of these 11 unfamiliar voices varied with only one being frequently presented (the trained-to-familiar voice). ERP analyses revealed different responses for intimately familiar and unfamiliar voices in two distinct time windows (P2 between 200–250 ms and a late positive component, LPC, between 450–850 ms post-onset) with late responses occurring only for intimately familiar voices. The LPC present sustained shifts, and short-time ERP components appear to reflect an early recognition stage. The trained voice equally elicited distinct responses, compared to rarely heard voices, but these occurred in a third time window (N250 between 300–350 ms post-onset). Overall, the timing of responses suggests that the processing of intimately familiar voices operates in two distinct steps of voice recognition, marked by a P2 on right centro-frontal sites, and speaker identification marked by an LPC component. The recognition of frequently heard voices entails an independent recognition process marked by a differential N250. Based on the present results and previous observations, it is proposed that there is a need to distinguish between processes of voice “recognition” and “identification”. The present study also specifies test conditions serving to reveal this distinction in neural responses, one of which bears on the length of speech stimuli given the late responses associated with voice identification.
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Abrams, Daniel A., Tianwen Chen, Paola Odriozola, Katherine M. Cheng, Amanda E. Baker, Aarthi Padmanabhan, Srikanth Ryali, John Kochalka, Carl Feinstein, and Vinod Menon. "Neural circuits underlying mother’s voice perception predict social communication abilities in children." Proceedings of the National Academy of Sciences 113, no. 22 (May 16, 2016): 6295–300. http://dx.doi.org/10.1073/pnas.1602948113.
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The human voice is a critical social cue, and listeners are extremely sensitive to the voices in their environment. One of the most salient voices in a child’s life is mother's voice: Infants discriminate their mother’s voice from the first days of life, and this stimulus is associated with guiding emotional and social function during development. Little is known regarding the functional circuits that are selectively engaged in children by biologically salient voices such as mother’s voice or whether this brain activity is related to children’s social communication abilities. We used functional MRI to measure brain activity in 24 healthy children (mean age, 10.2 y) while they attended to brief (<1 s) nonsense words produced by their biological mother and two female control voices and explored relationships between speech-evoked neural activity and social function. Compared to female control voices, mother’s voice elicited greater activity in primary auditory regions in the midbrain and cortex; voice-selective superior temporal sulcus (STS); the amygdala, which is crucial for processing of affect; nucleus accumbens and orbitofrontal cortex of the reward circuit; anterior insula and cingulate of the salience network; and a subregion of fusiform gyrus associated with face perception. The strength of brain connectivity between voice-selective STS and reward, affective, salience, memory, and face-processing regions during mother’s voice perception predicted social communication skills. Our findings provide a novel neurobiological template for investigation of typical social development as well as clinical disorders, such as autism, in which perception of biologically and socially salient voices may be impaired.
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Prihatsanti, Unika, Fajriyanthi Fajriyanthi, and Urip Purwono. "PENGUKURAN EMPLOYEE VOICE." Jurnal Psikologi 18, no. 1 (August 16, 2019): 41. http://dx.doi.org/10.14710/jp.18.1.41-54.
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Voice as a form of constructive expression in improving organizational functions and effectiveness has received great attention, especially in studies that explain the antecedents and consequences of employees’ voices. However, studies that explain psychometric properties of employee voice measurements are still limited. This article aimed to examine the psychometric properties, particularly construct validity, of employee voice measurement. In Study 1, three employee voice instruments were found through literature review from 23 articles in the last five years (2013-2018) from EBSCOhost and Proquest databases. In Study 2, based on the results of the literature review, the sound psychometric property test was carried out using confirmatory factor analysis. The results of data analysis prove that the Employee Voice scale of Liang, Farh, and Farh (2012) is an appropriate model for measuring employee voices with good validity and reliability.
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Moy, Patricia. "The Promise and Perils of Voice." Journal of Communication 70, no. 1 (February 2020): 1–12. http://dx.doi.org/10.1093/joc/jqz049.
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Abstract This article, based on the author's presidential address at the International Communication Association's 69th annual conference, speaks to the dual-edged nature of voice. It positions voice and the public as two closely related concepts, and reviews how varying definitions of the public throughout the years have played a critical role in determining which voices get heard. The article then discusses the normative foregrounding of voice in deliberative democracy and how, facilitated by technology, voices also bring with them noise and clamor. Finally, this article highlights concerns that arise from an overabundance of voices, and calls for mindful, disciplinary exercising of voice.
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Fedotova, Sofia. "DEFINITION OF A TIMBRE OF A SINGING VOICE: FACH VOICE CLASSIFICATION." Muzykal'nyj al'manah Tomskogo gosudarstvennogo universiteta, no. 10 (2020): 112–22. http://dx.doi.org/10.17223/26188929/10/11.
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Timbre of a singing voice is a multifaceted and difficult concept considered by researchers in aspects of acoustics, physiology, specifics of opera singing and expressiveness of an opera image. Vocal methodical literature contains certain criteria for definition of type of voice. However, due to the variety of voices, timbres and physical capacities of singers, the individual approach to each voice is necessary. In addition, the voice definition problem can be complicated by defects of sound formation, which only can avoid few beginner vocalists. The main classification of voices was formed gradually, it developed by the XVII century, in process of development of opera art by vocal researchers a new subtypes in each type of a voice were allocated. In the article are shown some of the existing approaches to classification of the types of singing voices which choice was determined by a personal interest and availability of sources to the author. The separate section of the article is devoted to the classification of opera voices by the Fach system used in Europe, which is somewhat similar to classifications of masters of the Italian school and the Soviet researchers, but it is more differentiated, connects subtypes of a voice not only with characteristics of timbre, but also diverse skills of actors and texture of singers, and also contains examples of the opera parties not extended on the Russian opera scene – which represented the interest to the author.
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Saevi, Tone. "Voice No Voice Counter Voice..." Phenomenology & Practice 12, no. 1 (March 30, 2018): 1–3. http://dx.doi.org/10.29173/pandpr29353.
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Shigeno, Sumi. "Speaking with a Happy Voice Makes You Sound Younger." International Journal of Psychological Studies 8, no. 4 (October 25, 2016): 71. http://dx.doi.org/10.5539/ijps.v8n4p71.
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<p>This study investigates the effects of emotional voices (expressing neutral emotion, sadness, and happiness) on a judgement of a speaker’s age. An experiment was conducted to explore whether happy voices sound younger than neutral and sad voices. The identification of 24 speakers’ ages (12 of each gender) based on their emotional voices was done by 40 participants. The speakers’ ages were 24-75 years. Participants identified the age of each speaker only by hearing his/her emotional voice. The results showed that when a speaker spoke with a happy voice, participants estimated their age to be younger than their chronological age. Furthermore, the results regarding female happy voices were more conspicuous than male happy voices. In contrast, when a speaker spoke with a sad voice, participants estimated them to be older. The results suggest that a happy voice sounds younger because of its higher voice pitch (<em>F0</em>). We discussed the role of vocal pitch and other paralinguistic factors for providing an aging impression.</p>
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Ammerman Yebra, Julia. "“The power of the voice”." RED — Revista Electrónica de Direito 29, no. 3 (2022): 6–24. http://dx.doi.org/10.24840/2182-9845_2022-0003_0002.
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Voice is a feature that individualizes and identifies us. Also, a voice is a biometric data, which means that once a voice has been processed, its owner can be identified. This allows us to state that the voice can be used as a means to authenticate the signature of an electronic contract. Therefore, biometric voice recognition techniques will make it possible to identify the owner of the voice, who will thus be giving his contractual consent. The issue could become more complicated when not only the “voiceprint” is used as a signature, but also the counterpart is a virtual voice assistant. These assistants, designed to both “answer” and “listen”, should contain strong privacy policies regarding the processing of the voices interacting with them. The purpose of this paper is to analyze the consent given both for electronic contracting by voice and for the processing of these voices by virtual assistants.
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Längle, Sonja Theresa, Stephan Schlögl, Annina Ecker, Willemijn S. M. T. van Kooten, and Teresa Spieß. "Nonbinary Voices for Digital Assistants—An Investigation of User Perceptions and Gender Stereotypes." Robotics 13, no. 8 (July 23, 2024): 111. http://dx.doi.org/10.3390/robotics13080111.
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Due to the wide adoption of digital voice assistants (DVAs), interactions with technology have also changed our perceptions, highlighting and reinforcing (mostly) negative gender stereotypes. Regarding the ongoing advancements in the field of human–machine interaction, a developed and improved understanding of and awareness of the reciprocity of gender and DVA technology use is thus crucial. Our work in this field expands prior research by including a nonbinary voice option as a means to eschew gender stereotypes. We used a between-subject quasi-experimental questionnaire study (female voice vs. male voice vs. nonbinary voice), in which n=318 participants provided feedback on gender stereotypes connected to voice perceptions and personality traits. Our findings show that the overall gender perception of our nonbinary voice leaned towards male on the gender spectrum, whereas the female-gendered and male-gendered voices were clearly identified as such. Furthermore, we found that feminine attributes were clearly tied to our female-gendered voice, whereas the connection of masculine attributes to the male voice was less pronounced. Most notably, however, we did not find gender-stereotypical trait attributions with our nonbinary voice. Results also show that the likability of our female-gendered and nonbinary voices was lower than it was with our male-gendered voice, and that, particularly with the nonbinary voice, this likability was affected by people’s personality traits. Thus, overall, our findings contribute (1) additional theoretical grounding for gender-studies in human–machine interaction, and (2) insights concerning peoples’ perceptions of nonbinary voices, providing additional guidance for researchers, technology designers, and DVA providers.
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Sowodniok, Ulrike. "Voce in Libertà – Freed Voice: an Applied Anthropology of the Voice." Senses and Society 11, no. 1 (January 2, 2016): 50–59. http://dx.doi.org/10.1080/17458927.2016.1162947.
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BIRCHWOOD, M., A. MEADEN, P. TROWER, P. GILBERT, and J. PLAISTOW. "The power and omnipotence of voices: subordination and entrapment by voices and significant others." Psychological Medicine 30, no. 2 (March 2000): 337–44. http://dx.doi.org/10.1017/s0033291799001828.
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Background. Cognitive therapy for psychotic symptoms often embraces self-evaluative beliefs (e.g. self-worth) but whether and how such beliefs are related to delusions remains uncertain. In previous research we demonstrated that distress arising from voices was linked to beliefs about voices and not voice content alone. In this study we examine whether the relationship with the voice is a paradigm of social relationships in general, using a new framework of social cognition, ‘ranking’ theory.Method. In a sample of 59 voice hearers, measures of power and social rank difference between voice and voice hearer are taken in addition to parallel measures of power and rank in wider social relationships.Results. As predicted, subordination to voices was closely linked to subordination and marginalization in other social relationships. This was not the result of a mood-linked appraisal. Distress arising from voices was linked not to voice characteristics but social and interpersonal cognition.Conclusion. This study suggests that the power imbalance between the individual and his persecutor(s) may have origins in an appraisal by the individual of his social rank and sense of group identification and belonging. The results also raise the possibility that the appraisal of voice frequency and volume are the result of the appraisal of voices' rank and power. Theoretical and novel treatment implications are discussed.
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Pierce, Jenny L., Kristine Tanner, Ray M. Merrill, Lauren Shnowske, and Nelson Roy. "Acoustic Variability in the Healthy Female Voice Within and Across Days: How Much and Why?" Journal of Speech, Language, and Hearing Research 64, no. 8 (August 9, 2021): 3015–31. http://dx.doi.org/10.1044/2021_jslhr-21-00018.
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Purpose The aims of this study were (1) to quantify variability in voice production (as measured acoustically) within and across consecutive days in vocally healthy female speakers, (2) to identify which acoustic measures are sensitive to this variability, and (3) to identify participant characteristics related to such voice variability. Method Participants included 45 young women with normal voices who were stratified by age, specifically 18–23, 24–29, and 30–35 years. Following an initial acoustic and auditory-perceptual voice assessment, participants performed standardized field voice recordings 3 times daily across a 7-day period. Acoustic analyses involved 32 cepstral-, spectral-, and time-based measures of connected speech and sustained vowels. Relationships among acoustic data and select demographic, health, and lifestyle (i.e., participant-based) factors were also examined. Results Significant time-of-day effects were observed for acoustic analyses within speakers ( p < .05), with voices generally being worse in the morning. No significant differences were observed across consecutive days. Variations in voice production were associated with several participant factors, including improved voice with increased voice use; self-perceived poor voice function, minimal or no alcohol consumption, and extroverted personality; and worse voice with regular or current menstruation, depression, and anxiety. Conclusions This acoustic study provides essential information regarding the nature and extent to which healthy voices vary throughout the day and week. Participant-based factors that were associated with improved voice over time included increased voice use, self-perceived poor voice function, minimal or no alcohol consumption, and extroverted personality. Factors associated with worse voice production over time included regular or current menstruation, and depression and anxiety.
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Jacobsen, Pamela, Emmanuelle Peters, Thomas Ward, Philippa A. Garety, Mike Jackson, and Paul Chadwick. "Overgeneral autobiographical memory bias in clinical and non-clinical voice hearers." Psychological Medicine 49, no. 1 (March 14, 2018): 113–20. http://dx.doi.org/10.1017/s0033291718000570.
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AbstractBackgroundHearing voices can be a distressing and disabling experience for some, whilst it is a valued experience for others, so-called ‘healthy voice-hearers’. Cognitive models of psychosis highlight the role of memory, appraisal and cognitive biases in determining emotional and behavioural responses to voices. A memory bias potentially associated with distressing voices is the overgeneral memory bias (OGM), namely the tendency to recall a summary of events rather than specific occasions. It may limit access to autobiographical information that could be helpful in re-appraising distressing experiences, including voices.MethodsWe investigated the possible links between OGM and distressing voices in psychosis by comparing three groups: (1) clinical voice-hearers (N = 39), (2) non-clinical voice-hearers (N = 35) and (3) controls without voices (N = 77) on a standard version of the autobiographical memory test (AMT). Clinical and non-clinical voice-hearers also completed a newly adapted version of the task, designed to assess voices-related memories (vAMT).ResultsAs hypothesised, the clinical group displayed an OGM bias by retrieving fewer specific autobiographical memories on the AMT compared with both the non-clinical and control groups, who did not differ from each other. The clinical group also showed an OGM bias in recall of voice-related memories on the vAMT, compared with the non-clinical group.ConclusionsClinical voice-hearers display an OGM bias when compared with non-clinical voice-hearers on both general and voices-specific recall tasks. These findings have implications for the refinement and targeting of psychological interventions for psychosis.
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Zhang, Yu, Rongjie Huang, Ruiqi Li, JinZheng He, Yan Xia, Feiyang Chen, Xinyu Duan, Baoxing Huai, and Zhou Zhao. "StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 17 (March 24, 2024): 19597–605. http://dx.doi.org/10.1609/aaai.v38i17.29932.
Повний текст джерелаАнотація:
Style transfer for out-of-domain (OOD) singing voice synthesis (SVS) focuses on generating high-quality singing voices with unseen styles (such as timbre, emotion, pronunciation, and articulation skills) derived from reference singing voice samples. However, the endeavor to model the intricate nuances of singing voice styles is an arduous task, as singing voices possess a remarkable degree of expressiveness. Moreover, existing SVS methods encounter a decline in the quality of synthesized singing voices in OOD scenarios, as they rest upon the assumption that the target vocal attributes are discernible during the training phase. To overcome these challenges, we propose StyleSinger, the first singing voice synthesis model for zero-shot style transfer of out-of-domain reference singing voice samples. StyleSinger incorporates two critical approaches for enhanced effectiveness: 1) the Residual Style Adaptor (RSA) which employs a residual quantization module to capture diverse style characteristics in singing voices, and 2) the Uncertainty Modeling Layer Normalization (UMLN) to perturb the style attributes within the content representation during the training phase and thus improve the model generalization. Our extensive evaluations in zero-shot style transfer undeniably establish that StyleSinger outperforms baseline models in both audio quality and similarity to the reference singing voice samples. Access to singing voice samples can be found at https://stylesinger.github.io/.
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Thomas, Neil, John Farhall, and Frances Shawyer. "Beliefs about Voices and Schemas about Self and Others in Psychosis." Behavioural and Cognitive Psychotherapy 43, no. 2 (October 9, 2013): 209–23. http://dx.doi.org/10.1017/s1352465813000817.
Повний текст джерелаАнотація:
Background:In people who experience auditory verbal hallucinations, beliefs the person holds about their voices appear to be clinically important as mediators of associated distress and disability. Whilst such beliefs are thought to be influenced by broader schematic representations the person holds about themselves and other people, there has been little empirical examination of this, in particular in relation to beliefs about voice intent and the personal meaning of the voice experience.Method:Thirty-four voice hearers with a diagnosis of schizophrenia or schizoaffective disorder completed the Psychotic Symptom Rating Scales and measures of beliefs about voices (Revised Beliefs About Voices Questionnaire, Interpretation of Voices Inventory) and schemas (Brief Core Schema Scales).Results:Beliefs about voices were correlated with both negative voice content and schemas. After controlling for negative voice content, schemas were estimated to predict between 9% and 35% of variance in the six beliefs about voices that were measured. Negative-self schemas were the strongest predictors, and positive-self and negative-other schemas also showed potential relationships with beliefs about voices.Conclusions:Schemas, particularly those regarding the self, are potentially important in the formation of a range of clinically-relevant beliefs about voices.