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1
Watkins, Heather, and Richard Pak. "Investigating Underrepresented Perceptions of Inclusively Designed Voiced Automation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 290–94. http://dx.doi.org/10.1177/1071181322661228.
Анотація:
Consumers are increasingly interacting with automated systems for various purposes (e.g., smart speaker, vehicle control). One of the most popular ways they communicate with these systems is via the spoken auditory channel (listening and speaking). However, most of these systems tend to default to a female voice. In addition, many specifically use a White-sounding female voice. While prior work has investigated how attributes of age and gender influence perceptions of voiced automation, an additional vocal attribute of humanness has not been well researched -race. The specific goal of this project is to examine how more inclusively designed AI voices (e.g. exhibiting attributes of race) affect Black users’ attitudes toward autonomous technology. Results are expected to show more preferential attitudes when automation exhibits similar vocal attributes to the user. Findings will add to our understanding of how a deliberately more inclusive design affects an underrepresented population’s attitudes toward technology.
2
Charoenruk, Nuttirudee, and Kristen Olson. "Do Listeners Perceive Interviewers’ Attributes from their Voices and Do Perceptions Differ by Question Type?" Field Methods 30, no. 4 (July 10, 2018): 312–28. http://dx.doi.org/10.1177/1525822x18784500.
Анотація:
As an aural mode, an interviewer’s voice is an important part of telephone surveys. A speaker’s voice can convey information about his or her trustworthiness and confidence, among other attributes. Consequently, respondents may perceive attributes of interviewers from their voices. We evaluated how five perceived attributes of interviewers (expertise, confidence, reliability, trustworthiness, and easiness to understand) are associated with interviewer voice characteristics (pitch, intonation, speech rate, and disfluencies) and whether this varies by types of question and interviewer characteristics. Overall, listeners perceived interviewers’ attributes from their voices. Interviewers with higher pitched voices, moderate intonation, a faster pace, and fewer disfluencies were rated more positively, but these ratings differed somewhat for socially undesirable and complex questions. Reading questions at the recommended speech rate of two words per second leads to negative perceptions of interviewers.
3
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.
Анотація:
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/.
4
Clapp, William, Charlotte Vaughn, and Meghan Sumner. "The episodic encoding of talker voice attributes across diverse voices." Journal of Memory and Language 128 (February 2023): 104376. http://dx.doi.org/10.1016/j.jml.2022.104376.
5
Benaroya, Laurent, Nicolas Obin, and Axel Roebel. "Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations." Entropy 25, no. 2 (February 18, 2023): 375. http://dx.doi.org/10.3390/e25020375.
Анотація:
Voice conversion (VC) consists of digitally altering the voice of an individual to manipulate part of its content, primarily its identity, while maintaining the rest unchanged. Research in neural VC has accomplished considerable breakthroughs with the capacity to falsify a voice identity using a small amount of data with a highly realistic rendering. This paper goes beyond voice identity manipulation and presents an original neural architecture that allows the manipulation of voice attributes (e.g., gender and age). The proposed architecture is inspired by the fader network, transferring the same ideas to voice manipulation. The information conveyed by the speech signal is disentangled into interpretative voice attributes by means of minimizing adversarial loss to make the encoded information mutually independent while preserving the capacity to generate a speech signal from the disentangled codes. During inference for voice conversion, the disentangled voice attributes can be manipulated and the speech signal can be generated accordingly. For experimental evaluation, the proposed method is applied to the task of voice gender conversion using the freely available VCTK dataset. Quantitative measurements of mutual information between the variables of speaker identity and speaker gender show that the proposed architecture can learn gender-independent representation of speakers. Additional measurements of speaker recognition indicate that speaker identity can be recognized accurately from the gender-independent representation. Finally, a subjective experiment conducted on the task of voice gender manipulation shows that the proposed architecture can convert voice gender with very high efficiency and good naturalness.
6
Sun, Yongqiang, Cailian Zhao, and Xiao-Liang Shen. "Understanding how firm attributes affect voice in brand community." Industrial Management & Data Systems 121, no. 5 (March 17, 2021): 1045–62. http://dx.doi.org/10.1108/imds-07-2020-0418.
Анотація:
PurposeCustomers' continuous value creation (e.g. voice) is an important research issue for the success of brand virtual community (BVC) and new product development, while it is rarely studied from a firm perspective. The purpose of the present study is to investigate how firm attributes exert influences on continuous voice intention in brand virtual communities.Design/methodology/approachThe data were collected through a survey in mobile brand virtual communities in China, and 291 valid responses for data analysis were included to test the research model by using partial least squares (PLSs).FindingsThe results show that intrinsic motivation to voice is positively associated with continuous voice intention. Furthermore, the impact of brand identification on intrinsic motivation is found to be fully mediated by community identification. Customer orientation has a positive effect on perceived openness, and both customer orientation and perceived openness positively affect customers' brand identification and community identification.Originality/valueAlthough prior studies have examined some variables relevant to voice behavior, few studies have recognized the influence of firm attributes toward the BVC on sustained voice intention. To fill this research gap, the authors propose a research model to shed light on the role of firm attributes by classifying them into brand- vs community-based firm attributes, which affect intrinsic motivation through two types of social identification, namely brand identification and community identification.
7
Zubey, Michael L., William Wagner, and James R. Otto. "A conjoint analysis of voice over IP attributes." Internet Research 12, no. 1 (March 2002): 7–15. http://dx.doi.org/10.1108/10662240210415781.
8
Yang, Zhihan, Zhiyong Wu, Ying Shan, and Jia Jia. "What Does Your Face Sound Like? 3D Face Shape towards Voice." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (June 26, 2023): 13905–13. http://dx.doi.org/10.1609/aaai.v37i11.26628.
Анотація:
Face-based speech synthesis provides a practical solution to generate voices from human faces. However, directly using 2D face images leads to the problems of uninterpretability and entanglement. In this paper, to address the issues, we introduce 3D face shape which (1) has an anatomical relationship between voice characteristics, partaking in the "bone conduction" of human timbre production, and (2) is naturally independent of irrelevant factors by excluding the blending process. We devise a three-stage framework to generate speech from 3D face shapes. Fully considering timbre production in anatomical and acquired terms, our framework incorporates three additional relevant attributes including face texture, facial features, and demographics. Experiments and subjective tests demonstrate our method can generate utterances matching faces well, with good audio quality and voice diversity. We also explore and visualize how the voice changes with the face. Case studies show that our method upgrades the face-voice inference to personalized custom-made voice creating, revealing a promising prospect in virtual human and dubbing applications.
9
David, Yigal, and Elad Harison. "Paying Lip Service?" International Journal of Enterprise Information Systems 18, no. 1 (January 1, 2022): 1–20. http://dx.doi.org/10.4018/ijeis.313049.
Анотація:
Literature has mainly analyzed the technical attributes of voice for enterprise technical applications, such as voice signature and speech recognition. This paper aims at identifying voice and speech attributes that reflect sentiment and affect (positively or negatively) customer satisfaction levels in voice interactions. The paper used method triangulation that utilizes multiple data sources to gain comprehensive understanding of the domain, including auditory observations, focus group interviews, customer survey, and a review of recent academic studies. The findings indicate that customer experience and satisfaction are influenced by the relative values of voice pitch between the CSR (customer service representative) and the customer. The major conclusion of the study suggests that voice fundamental pitch, speech rate, voice amplitude, and other communication parameters might deploy hidden power and affect service interaction's results. The study opens a new venue for research on social interaction adjustment from the CSR's perspective and from the customer's standpoint.
10
Kreiman, Jody, Bruce R. Gerratt, Gail B. Kempster, Andrew Erman, and Gerald S. Berke. "Perceptual Evaluation of Voice Quality." Journal of Speech, Language, and Hearing Research 36, no. 1 (February 1993): 21–40. http://dx.doi.org/10.1044/jshr.3601.21.
Анотація:
The reliability of listeners’ ratings of voice quality is a central issue in voice research because of the clinical primacy of such ratings and because they are the standard against which other measures are evaluated. However, an extensive literature review indicates that both intrarater and interrater reliability fluctuate greatly from study to study. Further, our own data indicate that ratings of vocal roughness vary widely across individual clinicians, with a single voice often receiving nearly the full range of possible ratings. No model or theoretical framework currently exists to explain these variations, although such a model might guide development of efficient, valid, and standardized clinical protocols for voice evaluation. We propose a theoretical framework that attributes variability in ratings to several sources (including listeners’ backgrounds and biases, the task used to gather ratings, interactions between listeners and tasks, and random error). This framework may guide development of new clinical voice and speech evaluation protocols, ultimately leading to more reliable perceptual ratings and a better understanding of the perceptual qualities of pathological voices.
11
Marques, Francisco Felizol. "A Voz do Deus em Democracia." Philosophica: International Journal for the History of Philosophy 20, no. 39 (2012): 141–62. http://dx.doi.org/10.5840/philosophica201220399.
Анотація:
In democracy, the people take the place of a single and universal God. Since the first democracy’s modern theorizations there is a tendency to give the people the (not) attributes of a single god. This abstraction of features allows the people to include all the differences and particularities and then universalizes itself as the source and foundation of all power. The people in democracy are not only innate, uncaused, immortal, incorporeal, unextended, are omnipresent, omniscient (or infallible) and omnipotent - negative attributes as well. The people have also virtues that have been established as human, which, because sacralized, sublimated, are negative attributes as well. The only positive feature of the people, to be full age, reveals its functional nature. The voice of the people is the voice of a God. Therefore the single God creates over his voice, the people creates in an election result. In democracy, this voice creates in an infallible way.
12
Ma'ruf, Farid, Wahyu Anrian, and Isana Arum. "Development of Traditional Market Garbage Bin." Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) 17, no. 3 (January 18, 2024): 346. http://dx.doi.org/10.22441/pasti.2023.v17i3.006.
Анотація:
A garbage bin is a tool for handling waste in the Demangan and Sentul markets. Garbage leachate is terrible for the environment and humans and is a location for Aedes aegypti mosquitoes to breed due to ammonia compounds in leachate. This research aims to redesign the garbage bin so that it is optimal for controlling and managing waste and minimizing its impact. The garbage bin is designed using the Quality Function Deployment method. The garbage bin design has nine attributes from the customer's voice and sixteen technical response attributes. The technical response attribute becomes the part deployment input, resulting in twenty one part specification attributes. The priority attribute divides the shelter into two parts: the organic and non-organic waste has CW=662.16. The developed garbage bin design advantages are storage space according to type, wastewater storage, and minimizing waste's destructive impact.
13
Choi, Ha-Yeong, Sang-Hoon Lee, and Seong-Whan Lee. "DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 16 (March 24, 2024): 17862–70. http://dx.doi.org/10.1609/aaai.v38i16.29740.
Анотація:
Diffusion-based generative models have recently exhibited powerful generative performance. However, as many attributes exist in the data distribution and owing to several limitations of sharing the model parameters across all levels of the generation process, it remains challenging to control specific styles for each attribute. To address the above problem, we introduce decoupled denoising diffusion models (DDDMs) with disentangled representations, which can enable effective style transfers for each attribute in generative models. In particular, we apply DDDMs for voice conversion (VC) tasks, tackling the intricate challenge of disentangling and individually transferring each speech attributes such as linguistic information, intonation, and timbre. First, we use a self-supervised representation to disentangle the speech representation. Subsequently, the DDDMs are applied to resynthesize the speech from the disentangled representations for style transfer with respect to each attribute. Moreover, we also propose the prior mixup for robust voice style transfer, which uses the converted representation of the mixed style as a prior distribution for the diffusion models. The experimental results reveal that our method outperforms publicly available VC models. Furthermore, we show that our method provides robust generative performance even when using a smaller model size. Audio samples are available at https://hayeong0.github.io/DDDM-VC-demo/.
14
Lloy, Line, Nikolai A. Schwarz-Acosta, and Molly Babel. "Intelligibility, recall, and voice evaluation across accents." Journal of the Acoustical Society of America 155, no. 3_Supplement (March 1, 2024): A273. http://dx.doi.org/10.1121/10.0027481.
Анотація:
Speech elicits variable responses from listeners. Voices can vary in their intelligibility, how well listeners can recall messages produced by the voice, and what kind of social evaluation it explicitly or implicitly evokes. These different responses may be due to individual-specific attributes within a voice or the accent it carries. For example, familiar or more standard language varieties may be more intelligible producing more easily recalled, and eliciting more positive social evaluations from listeners. The current study uses 35 English-speaking voices from 7 different language backgrounds that vary in familiarity and prestige to the listener (n = 430) population, which is a representative heterogeneous sampling from the local university community. Specific voices were chosen from a larger data set based on their acoustic similarity. Listeners either completed a speech transcription task (quantifying intelligibility) or a cloze task (quantifying recall) and all listeners provided an evaluation of the voices’ likability and perceived comprehensibility. Bayesian data analysis is used to quantify and characterize the relationship between a voice’s intelligibility and how well it is recalled, and whether this relationship is predicted by social evaluation and listener experience. These results have implications for theories of speech recognition and how listeners process accents.
15
Jakaria, Ribangun bamban, Wiwik Sumarmi, and Iswanto. "Menentukan Variabel Desain Iklan Menggunakan Voice of Customer." Journal of Research and Technology 8, no. 1 (August 15, 2022): 99–108. http://dx.doi.org/10.55732/jrt.v8i1.579.
Анотація:
The corporate world is undergoing a very rapid rate of change. It's no wonder that manufacturers are competing to sell their products quickly in the market. Advertising is a medium that is used as a means to distribute information to the public, related to the product you want to be known, one of which is advertising that is used on television. By paying attention to this, when designing an advertisement, the thing that must be considered is the attributes attached to the advertisement, in order to provide interest to consumers or potential consumers. The purpose of this study was to determine the dominant product attributes on consumer interest in making decisions to continue viewing service advertisements on advertising impressions in digital media. The final result to be achieved is that the product design of advertisements is made able to improve product performance, provide convenience for business actors in determining ergonomic designs on digital media and optimize the performance of marketing tools in introducing products so that product designers are able to provide guarantees for the design of advertisements displayed. Become the preferred ad. This study uses customer voice analysis in the Quality Function Deployment (QFD) method by testing some initial attributes which show the results that some attributes have a significant influence on the design of advertising products.
16
Naunheim, Matthew R., Margaret L. Naunheim, Vinay K. Rathi, Ramon A. Franco, Mark G. Shrime, and Phillip C. Song. "Patient Preferences in Subglottic Stenosis Treatment: A Discrete Choice Experiment." Otolaryngology–Head and Neck Surgery 158, no. 3 (November 21, 2017): 520–26. http://dx.doi.org/10.1177/0194599817742851.
Анотація:
Objectives Subglottic stenosis can be addressed with several different surgical techniques, but patient preferences for these treatment modalities are poorly understood. Economic methods are increasingly being used to understand how patients make decisions. The objective of this pilot study was to assess preferences in subglottic stenosis treatment using patient-centric stated preference techniques. Study Design Discrete choice experiment (DCE). Setting Academic research facility. Subjects and Methods A computer-based DCE was administered in a monitored setting to volunteers from the general population. Signs and symptoms of subglottic stenosis were described, and participants were asked to imagine they had subglottic stenosis. Hypothetical treatments were offered, with 5 systematically varied attributes: need for external incision, length of hospital stay, postoperative voice quality, likelihood of repeat procedures, and risk of complication. A conditional logistic model was used to assess the relative attribute importance. Results In total, 162 participants were included. Attributes with the greatest impact on decision making included potential need for repeat procedures (importance 30.2%; P < .001), amount of operative risk (importance 28.1%; P < .001), and postoperative voice quality (importance 27.7%; P < .001), whereas presence of incision (importance 5.0%; P = .001) was less important, and hospital stay was not (importance 9.0%; P = .089). Based on aggregate responses for these attributes, the model demonstrated that most participants (80.4%) would prefer endoscopic surgery for subglottic stenosis as opposed to open tracheal resection (19.6%). Conclusion In this pilot population, most participants preferred voice-sparing, low-risk procedures as treatment for subglottic stenosis, consistent with an endoscopic approach, even if multiple procedures were required.
17
Naveh-Benjamin, Moshe, and Fergus I. M. Craik. "Effects of Perceptual and Conceptual Processing on Memory for Words and Voice: Different Patterns for Young and Old." Quarterly Journal of Experimental Psychology Section A 49, no. 3 (August 1996): 780–96. http://dx.doi.org/10.1080/713755640.
Анотація:
In two experiments younger and older adults listened to a list of words presented auditorily by two speakers. The subjects processed each word either perceptually (voice judgements) or conceptually (pleasantness judgements), and were then given memory tasks for the words and the presenting voice. In the word-recognition task the two age groups benefited equally from conceptual as opposed to perceptual processing. In the voice memory task, however, conceptual processing improved performance relative to perceptual processing in the younger subjects (significantly so in Experiment 1), but conceptual processing was associated with decreased performance in the older group (significantly so in Experiment 2). These results suggest that whereas older subjects exhibit a trade-off in memory for item and attribute information, younger subjects exhibit a pattern of support, in which conceptual processing benefits memory for both items and their attributes.
18
Cartei, Valentina, Alan Garnham, Jane Oakhill, Robin Banerjee, Lucy Roberts, and David Reby. "Children can control the expression of masculinity and femininity through the voice." Royal Society Open Science 6, no. 7 (July 2019): 190656. http://dx.doi.org/10.1098/rsos.190656.
Анотація:
Pre-pubertal boys and girls speak with acoustically different voices despite the absence of a clear anatomical dimorphism in the vocal apparatus, suggesting that a strong component of the expression of gender through the voice is behavioural. Initial evidence for this hypothesis was found in a previous study showing that children can alter their voice to sound like a boy or like a girl. However, whether they can spontaneously modulate these voice components within their own gender in order to vary the expression of their masculinity and femininity remained to be investigated. Here, seventy-two English-speaking children aged 6–10 were asked to give voice to child characters varying in masculine and feminine stereotypicality to investigate whether primary school children spontaneously adjust their sex-related cues in the voice—fundamental frequency ( F 0) and formant spacing (Δ F )—along gender stereotypical lines. Boys and girls masculinized their voice, by lowering F 0 and Δ F , when impersonating stereotypically masculine child characters of the same sex. Girls and older boys also feminized their voice, by raising their F 0 and Δ F , when impersonating stereotypically feminine same-sex child characters. These findings reveal that children have some knowledge of the sexually dimorphic acoustic cues underlying the expression of gender, and are capable of controlling them to modulate gender-related attributes, paving the way for the use of the voice as an implicit, objective measure of the development of gender stereotypes and behaviour.
19
Young, Hwang Who. "Incongruencies between Indonesian and Korean Passive Voice Sentences." Eralingua: Jurnal Pendidikan Bahasa Asing dan Sastra 6, no. 1 (April 27, 2022): 169. http://dx.doi.org/10.26858/eralingua.v6i1.31759.
Анотація:
Abstract. Korean passive sentences are considered difficult to understand by Indonesians. Due to Indonesian language interference, ungrammatical Korean sentences are often produced by Indonesian. This study is aimed at analyzing the factors causing incongruity between Indonesian and Korean passive sentences. This research is descriptive qualitative study and the data are Indonesian simple passive sentences and equivalent forms in Korean. Both languages were analyzed using the theory of voice, passive prototype, and language typology by applying the contrastive and comparative methods. The finding results indicate that the causal factors can be traced back to differences Indonesian and Korean passive voice systems generated by the attributes both languages maintain, covering argument marking system, construction controller, subject selection criteria, agency coding, how the event is described, and sensitivity to animacy. Indonesian, which marks its core argument using word order, is a subject prominent language that prioritizes the argument’s syntactic function. The sentence constructions are controlled by the argument’s syntactic functions coded in the verb. Meanwhile, Korean, which indicates all arguments with case markers, is a topic and subject prominent language that emphasizes the argument’s inherent attribute. Korean sentence constructions are controlled by the argument’s inherent attributes, namely ANIMACY and CONTROL. Consequently, Indonesian passive sentences that do not align with Korean principles of Animacy Hierarchy and Control Degree are incongruent when translated into Korean passive sentences. The results of this study infer that the passive voice issue is not limited to the morpho-syntactic, but involves various levels of language and views of the world. Keywords: Indonesian and Korean passive sentences, voice modulation, language typology, Animacy, Degree of Control
20
Huang, Yaqian. "Different attributes of creaky voice distinctly affect Mandarin tonal perception." Journal of the Acoustical Society of America 147, no. 3 (March 2020): 1441–58. http://dx.doi.org/10.1121/10.0000721.
21
Gelfer, Marylou Pausewang. "Perceptual attributes of voice: Development and use of rating scales." Journal of Voice 2, no. 4 (1988): 320–26. http://dx.doi.org/10.1016/s0892-1997(88)80024-9.
22
Fauziyyah, Gesha Lailatul, Raden Utari Maharani, Anggi Meilanti Rosdiani, and Asep Suparman. "What Makes A Good Student: Voice from Teacher." English Education and Applied Linguistics Journal (EEAL Journal) 1, no. 3 (September 6, 2018): 243–51. http://dx.doi.org/10.31980/eealjournal.v1i3.1707.
Анотація:
Commonly, a good student equals good academic achievement. General people tend to associate good students with only excellence in academics. But in reality, another attribute will come up when people stated the definition of a good student. To make a clearer concept of a good student, finding another supporting attribute is needed. This present study aims to identify other attributes as a good student as perceive by the teacher. The teacher’s perspective is chosen because students first acquaint and the first observer is their teacher. Teachers’ perspectives such as teacher’s beliefs, opinions, and concerns are compiled as the source and obtained using interviews with semi- structured questions. Fifteen available teachers from different school levels and ages from 25 to 56 years old involved using convenience sampling in this study. The result of this study showed that teachers define a good student into four aspects or categories. The first is seeing from their academic skill, the second is dependent on the students’ personality, the third is their proficiencies and the last category is from the reflection. A surprising fact, teachers’ experiences, ages, and levels didn’t much influence their perspectives. Meanwhile, teachers’ gender affected their perspectives to define a good student.
23
Keates, Jean, and Susan A. Graham. "Category Markers or Attributes." Psychological Science 19, no. 12 (December 2008): 1287–93. http://dx.doi.org/10.1111/j.1467-9280.2008.02237.x.
Анотація:
To clarify the role of labels in early induction, we compared 16-month-old infants' ( n = 114) generalization of target properties to test objects when objects were introduced by the experimenter in one of the following ways: (a) with a general attentional phrase, (b) highlighted with a flashlight and a general attentional phrase, (c) via a recorded voice that labeled the objects using a naming phrase, (d) with a label consisting of a count noun embedded within a naming phrase, (e) with a label consisting of a single word that was not marked as belonging to a particular grammatical form class, and (f) with a label consisting of an adjective. Infants relied on object labels to guide their inductive inferences only when the labels were presented referentially, embedded within an intentional naming phrase, and marked as count nouns. These results suggest that infants do not view labels as attributes of objects; rather, infants understand that count-noun labels are intentional markers denoting category membership.
24
Prasmoro, Alloysius Vendhi, Chusnul Chotimah, and Denny Siregar. "Analisis Perbaikan Kualitas Pelayanan Menggunakan Metode Quality Function Deployment (Studi Kasus Cafe XYZ Rawalumbu)." Journal of Industrial and Engineering System 1, no. 2 (December 16, 2020): 89–100. http://dx.doi.org/10.31599/jies.v1i2.320.
Анотація:
ABSTRACT
Culinary business in Bekasi is growing more and more, both cafes or other fast food restaurants. This encourages entrepreneurs, investors to do culinary business. One of the fast food culinary businesses is the XYZ cafe. This study discusses the analysis of service quality in XYZ cafe about voice of customers to increase customer satisfaction at XYZ cafe. The purpose of this study is to determine the priority scale to increase the customers satisfaction based on the voice of customer and know what technical requirements should be given by cafe XYZ to does what customers need . The method used is the QFD, using the matrix house of quality. The results of this study are 15 Voice OF customer attributes that have also been sorted by priority scale of improvement, with the first priority being the taste of delicious and fresh and there are 8 attributes of technical requirements.
Keywords: Service Quality, Voice of Customer, customer satisfaction, Quality Function Deployment (QFD), House of Quality
25
Bommaji, Arun Pal. "Gender Voice Recognition Using Machine Learning Algorithms." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 2431–33. http://dx.doi.org/10.22214/ijraset.2022.44347.
Анотація:
Abstract: Gender identification is one of the major problems in the area of signal processing. The system deals with finding the gender of a person using oral features. One of the most persnickety problems faced is feature selection from wide range of features, which is distinguishing factor in classifying the gender of aperson. The ideal of this design is to design a system that determines the speaker gender using the pitch of the speaker's voice. relating the gender from the plots of voice data set i.e., pitch, median, frequency etc. can be possible by using machine learning. In this design, we're trying to classify gender into male or female based on the data set containing varied attributes related to voice like pitch, frequency etc. The data set have features with explanation data points recorded samples of male and female voices. The data set can be trained with different machine learning algorithms. The proposed system can determine the gender of the speaker with real time test data a new result to discover the gender of the speaker using Fast Fourier Transform with Logistic Regression
26
Xu, Ying, and Nan Niu. "Understanding Vtuber Live Streaming: Exploration of Psychological Attributes of Viewers." Highlights in Business, Economics and Management 14 (June 12, 2023): 166–72. http://dx.doi.org/10.54097/hbem.v14i.8983.
Анотація:
As an emerging communication practice, there are many research gaps in the field of Vtubing (Vtubing refers to the Vtuber live streaming, and Vtuber refers to the virtual streamer), including the lack of psychological attribute analysis. Through in-depth qualitative interviews, this study comprehensively explores the key psychological attributes of viewers when watching Vtubing, including perceived persona attractiveness, perceived appearance attractiveness, perceived voice attractiveness, perceived reliability, perceived anthropomorphism, immersion, psychological distance, and imagination. This study provides suggestions for Vtuber owners to design and manage Vtubers with important theoretical and practical significance.
27
Mcminn, Mark R., Sonja D. Brooks, Marcia A. (Hallmark) Triplett, Wesley E. Hoffman, and Paul G. Huizinga. "The Effects of God Language on Perceived Attributes of God." Journal of Psychology and Theology 21, no. 4 (December 1993): 309–14. http://dx.doi.org/10.1177/009164719302100404.
Анотація:
Sixty-three participants listened to an audio-tape asking them to imagine themselves in God's presence. Half the participants listened to a script in which God was presented as female and half listened to a script in which God was presented as male. Half of those in each group listened to a male narrator and the other half listened to a female narrator. Before and after listening to the script, participants rated the attributes of God on a forced-choice questionnaire. Those to whom God was presented as female were more likely to emphasize God's mercy at posttest whereas those to whom God was presented as male were more likely to endorse God's power. Those hearing a male voice describe a female God and those hearing a female voice describe a male God reported enjoying the experiment and the audiotape more than those hearing a narrator describing a God of the same gender. Implications are discussed.
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Sun, Xinxin, and Wenkui Jin. "Health Informatics Study of Smart Human-Computer Interaction Devices for Elderly Patients." Journal of Medical Imaging and Health Informatics 9, no. 8 (October 1, 2019): 1607–13. http://dx.doi.org/10.1166/jmihi.2019.2780.
Анотація:
Purpose: To analyze the elderly patients' demand in the field of language emotional attributes which is different from the particularity of the general population, and then used it to design the Smart Voice Assistant for elderly patients. Methods: The types of character are called the experts, assistants, family members and pets according to two evaluation scales which are 'friendly–unfriendly' and 'dominant–submissive.' Professional Mandarin Chinese broadcasters were invited to record their voice of a neutral sentence respectively. With differences in pitch, volume, tone color and sound quality, varied types of characters were simulated and eight pieces of voice record were generated. Twenty old people were selected to participate in the measurement test to grade these eight pieces of voice based on their acceptability of these voices. Results: Experiment shows that the male test group's preference value to the male voice is 4.4250, a little higher than their preference value to the female voice which is 3.9000. But the Independent Samples T Test shows that the significance of F Test is 0.345 > 0.05, while that of corresponding T test is 0.051, a little higher than 0.05. Hence it can be assumed that the male test group has almost no difference in the preference for voice gender. And the average of the female test group's preference value is 3.9500 for the male voice and 4.9750 for the female voice. Therefore, the female test group prefer female voice. In Independent Samples T Test, the significance of F Test is 0.909 > 0.05, while that of T Test is 0.000 < 0.05. Hence the female test group's voice gender preference has statistically significance difference. In terms of the individualization of voice type with different voice characters, the average grades from male test group to expert, assistant, family and pet type is 4.75, 4.85, 3.9, 3.15, while male test group is 3.65, 4.40, 5.40, 4.41. Conclusion: Based on the experimental results and verification, voice interaction among the elderly patients in the home environment, family-female type is the best choice.
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Vashisht, Jivitesh. "‘lips move, uttering inaudibly’: The Female Voice in Samuel Beckett's …but the clouds …" Journal of Beckett Studies 29, no. 2 (September 2020): 233–48. http://dx.doi.org/10.3366/jobs.2020.0313.
Анотація:
While the dialogue between Samuel Beckett's …but the clouds… and W. B. Yeats's ‘The Tower’ has been thoroughly examined, much less attention has been paid to the female voice that inaudibly recites the poetic fragment in what constitutes the teleplay's chief intertextual gesture towards Yeats's poem. Aligning this oversight with the more pervasive disregard within Beckett Studies to the gendered specificity of Beckett's voices, this essay elaborates the absent presence of the female voice in the teleplay – crystallised in the image of W's silently moving lips – from the interlocking perspectives of intertextuality, technology, and spectatorship. It draws attention to Beckett's sustained preoccupation with the female voice during the composition process, as well as the intertextual and technological operations through which he orchestrates its paradoxical status. Even though as a speech-deprived female body functions as the locus of these overlapping processes, I argue that … but the clouds… ultimately subverts associations of the feminine with discursive inadequacy and bodily impairment; if anything, Beckett here attributes deficiency and incompletion to male subjectivity and the televisual medium.
30
Kolokolov, A. S. "Study of the Informative Attributes of Voice Signal by Spectrum Editing." Automation and Remote Control 65, no. 8 (August 2004): 1338–47. http://dx.doi.org/10.1023/b:aurc.0000038734.70006.d8.
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Palmeri, Thomas J., Stephen D. Goldinger, and David B. Pisoni. "Episodic encoding of voice attributes and recognition memory for spoken words." Journal of Experimental Psychology: Learning, Memory, and Cognition 19, no. 2 (1993): 309–28. http://dx.doi.org/10.1037/0278-7393.19.2.309.
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Pandya, Abhiseka, Dyah Ismoyowati, and Suharno Suharno. "Developing Coffeeshop Improvement Strategy by Considering Voice of Customer." Agroindustrial Journal 7, no. 2 (March 17, 2021): 475. http://dx.doi.org/10.22146/aij.v7i2.64647.
Анотація:
The improvement strategy of coffee shop was created by first analyzing the quality of product, service, and pricing of coffee shop to determine the customer requirements using questionnaire. 105 customers of Legend Coffee filled the questionnaire. From 30 attributes, 13 of them needed improvement as their performance rating were below their respective importance, thus resulted in low customer satisfaction. Some product quality and service attributes located in the Concentrate Here quadrant, which requires immediate improvement. Based on those results, then strategic improvements will be made with management using QFD. The highest prioritized improvement strategies are increase in human resources with training in accordance with the job description, increase supervision of each division, and clearer preparation and more detailed SOPs. Improvement strategies then developed based on the voice of the customer with a discussion with management.
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Hadi, Iman H., and Alia K. Abdul-Hassan. "A Proposed Speaker Recognition Method B Based on Long-Term Voice Features and Fuzzy Logic." Engineering and Technology Journal 39, no. 1B (March 25, 2021): 1–10. http://dx.doi.org/10.30684/etj.v39i1b.343.
Анотація:
Speaker recognition depends on specific predefined steps. The most important steps are feature extraction and features matching. In addition, the category of the speaker voice features has an impact on the recognition process. The proposed speaker recognition makes use of biometric (voice) attributes to recognize the identity of the speaker. The long-term features were used such that maximum frequency, pitch and zero crossing rate (ZCR). In features matching step, the fuzzy inner product was used between feature vectors to compute the matching value between a claimed speaker voice utterance and test voice utterances. The experiments implemented using (ELSDSR) data set. These experiments showed that the recognition accuracy is 100% when using text dependent speaker recognition.
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Badhan, Pawan Kumar, and Manjeet Kaur. "Early Detection of Parkinson Disease Throughbiomedical Speech and Voice Analysis." International Journal on Soft Computing, Artificial Intelligence and Applications 13, no. 1 (February 28, 2024): 11–22. http://dx.doi.org/10.5121/ijscai.2024.13102.
Анотація:
Parkinson's disease, widely recognized as a neurodegenerative condition characterized by subtle changes in voice, has spurred an investigation into voice analysis for diagnostic purposes. This study is dedicated to the early detection of Parkinson's disease through a comprehensive examination of biomedical speech attributes. Parameters such as fundamental frequency range, jitter, shimmer, noise-to-harmonics ratio, and features derived from nonlinear analysis are considered, alongside variables like status, indicating the presence of neurological disorders, and class for classification purposes. Together, these attributes provide a detailed representation of voice signals, offering valuable insights into both neurological and voice disorders for research purposes. The dataset exhibits promising potential for applications in medical diagnostics and voice analysis. In the pursuit of accurate disease detection, various machine learning methodologies are employed, including Support Vector Machines (SVM), Random Forest (RF), Decision Tree (DT), Neural Networks (NN), and state- of-the-art Convolutional Neural Networks (CNNs). The incorporation of CNNs is pivotal, signifying a significantleap in accuracy of 100%for disease detection. The results showcase a model adept at discerning subtle changesassociated with Parkinson's disease, with SVM achieving 96%, Decision Tree demonstrating a perfect 100%, Neural Network attaining 98%, and Random Forest showcasing an accuracy of 99%. This innovative approach not only transforms early Parkinson's disease identification through voice analysis, setting a precision benchmark, but also underscores the transformative potential of cutting-edge technologies in healthcare practices. The study positions the model as a reliable diagnostic tool, capable of advancing medical diagnosticsthrough the seamless integration of biomedical research and machine learning, contributing to the broader fieldof neurodegenerative disease diagnostics.
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Naylor, Steven. "Voice: The persistent source." Organised Sound 21, no. 3 (November 11, 2016): 204–12. http://dx.doi.org/10.1017/s1355771816000170.
Анотація:
Sonic narratives on fixed media can take many forms. We may find complexly nuanced sound productions that rely on a broad range of implied and/or culturally shared non-verbal cues to convey a narrative progression. But we also frequently find creative productions centred upon the human voice, much like traditional storytelling but presented in the wider variety of performed, captured, or constructed contexts enabled by technology. In those productions, human voice without a visible physical source will represent, if only in the historic sense, the essence of the acousmatic – an unseen speaker addressing assembled listeners. And, although precise listener responses to that unseen voice will certainly vary, we typically respond quite strongly when directly addressed by another human voice. What are some of the attributes of voice that can trigger those strong responses? And, more pragmatically, what questions should composers consider as we attempt to harness that power for our own creative ends? In this article, we raise some of those questions for consideration, with the hope that readers – particularly those who are also sonic creators – will seek to answer them through their own creative practice.
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Brēde, Maija. "Phonetic Attributes of Political Discourse." Baltic Journal of English Language, Literature and Culture 7 (July 14, 2017): 26–39. http://dx.doi.org/10.22364/bjellc.07.2017.02.
Анотація:
The paper focuses on phonetic characteristics of public speaking in British English representing political discourse. Public speaking, especially by professional public speakers – leading State figures intends not only at providing essential information but also at convincing the audience of certain standpoints and affecting it emotionally. Accordingly public speeches require adequate phonetic means to achieve the effect; they pertain both to segmental and suprasegmental levels of speech, including intonation. The aim of the present analysis is to register ways by which a State figure attains the impression of prominence within the framework of publicistic style of intonation, mostly the use of nuclear tones, pausation and realizing function words as stressed segments.
The material of the analysis includes a speech by the Prime Minister of the United Kingdom David Cameron on life chances in the UK (t = 41' 23''), delivered on 11 January 2016. What contributes considerably to the expressive potential of the style is a regular usage of one of the falling tones in non-final tone units, a relatively high percentage of high falling tones, the use of a special rise, variation of the pause length, prominent function words, segmentation of an utterance into tone units of different length according to the interpretation of the piece of information, and the speaker’s voice timbre.
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Talkington, William J., Jeremy Donai, Alexandra S. Kadner, Molly L. Layne, Andrew Forino, Sijin Wen, Si Gao, et al. "Electrophysiological Evidence of Early Cortical Sensitivity to Human Conspecific Mimic Voice as a Distinct Category of Natural Sound." Journal of Speech, Language, and Hearing Research 63, no. 10 (October 16, 2020): 3539–59. http://dx.doi.org/10.1044/2020_jslhr-20-00063.
Анотація:
Purpose From an anthropological perspective of hominin communication, the human auditory system likely evolved to enable special sensitivity to sounds produced by the vocal tracts of human conspecifics whether attended or passively heard. While numerous electrophysiological studies have used stereotypical human-produced verbal (speech voice and singing voice) and nonverbal vocalizations to identify human voice–sensitive responses, controversy remains as to when (and where) processing of acoustic signal attributes characteristic of “human voiceness” per se initiate in the brain. Method To explore this, we used animal vocalizations and human-mimicked versions of those calls (“mimic voice”) to examine late auditory evoked potential responses in humans. Results Here, we revealed an N1b component (96–120 ms poststimulus) during a nonattending listening condition showing significantly greater magnitude in response to mimics, beginning as early as primary auditory cortices, preceding the time window reported in previous studies that revealed species-specific vocalization processing initiating in the range of 147–219 ms. During a sound discrimination task, a P600 (500–700 ms poststimulus) component showed specificity for accurate discrimination of human mimic voice. Distinct acoustic signal attributes and features of the stimuli were used in a classifier model, which could distinguish most human from animal voice comparably to behavioral data—though none of these single features could adequately distinguish human voiceness. Conclusions These results provide novel ideas for algorithms used in neuromimetic hearing aids, as well as direct electrophysiological support for a neurocognitive model of natural sound processing that informs both neurodevelopmental and anthropological models regarding the establishment of auditory communication systems in humans. Supplemental Material https://doi.org/10.23641/asha.12903839
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Alikhademi, Kiana, Brianna Richardson, Joshua Martins, Veena Chattaraman, Wi-Suk Kwon, and Juan E. Gilbert. "Systematic Evaluation of a Conversational Voice User Interface for Decision-Making." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 413–16. http://dx.doi.org/10.1177/1071181319631200.
Анотація:
When making routine and critical purchase decisions, consumers often have a need to process a surplus of information to make the right choice. Today’s technology must be able to assist them in this process. Although conversational voice user interfaces have the potential to help consumers in their decision-making, extensive testing is required to ensure that they are up to par with the expectations and the needs of users and contexts. Therefore, we focus on evaluating the ability of a multi-strategy conversational mobile decision-aid (MODA) (Alikhademi et al., in press) in correctly classifying the decision-making strategies used by consumers and recognizing attributes, brands, and criteria voiced in an air filter purchase context. Our system evaluation results revealed that MODA performed with high levels of accuracy with classifying the user’s decision-making strategy (over 80%) and recognizing decision parameters (over 75%). The main contribution of MODA is that it can support users in many domains and disciplines by recognizing voiced decision parameters.
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Asante Boadi, Evans, Zheng He, Josephine Bosompem, Joy Say, and Eric Kofi Boadi. "Let the Talk Count: Attributes of Stakeholder Engagement, Trust, Perceive Environmental Protection and CSR." SAGE Open 9, no. 1 (January 2019): 215824401982592. http://dx.doi.org/10.1177/2158244019825920.
Анотація:
This article tests the links between attributes of stakeholder engagement (information sharing [quantity and quality of information sharing], procedural fairness [respectful treatment and providing voice], and empathy) and local communities’ acceptance of corporate social responsibility (CSR) initiatives with the mediating roles of trust and perceived environmental protection. Using Ghana as a case, survey data were collected from 604 local inhabitants in mining communities for the study. In analyzing data with a structural equation modeling technique via IBM SPSS AMOS Version 22.0, the quality of information shared, respectful treatment, giving voice to and showing empathy to local inhabitants positively related with trust. Trust and perceived environmental protection partially mediated the relationships between attributes of stakeholder engagement and acceptance of CSR. The findings show different dimensions with different extent to which trust between mining firms and local communities can resolve conflicts on CSR initiatives as well as provide guidelines for healthy communication between stakeholders.
40
Marchand Knight, Jay. "Gender-expansive listeners invite us to reconsider voice categorization as a simple matter of pitch and timbre." Journal of the Acoustical Society of America 155, no. 3_Supplement (March 1, 2024): A118. http://dx.doi.org/10.1121/10.0027011.
Анотація:
Past literature has focused on pitch and timbre cues as the main determinants of the voice of an actor (a speaker or a singer). But in real life, judges rely on non-auditory cues such as the actor’s facial features, height, body size and shape. Resisting these visual biases could provide more accurate assessment of a voice but requires a stronger dissociation between auditory attributes and physical appearance, an ability hypothetically acquired by gender-expansive participants. In three online studies, we examine Faching (allocating voices into traditional categories). In study 1, 166 participants (85 cis, 81 gender-expansive) rated 144 audio (A) samples from 18 different actors (3 from each major Fach category, excluding countertenor) along a slider labeled low/dark to high/bright. Participants then guessed the voice types of the same actors in silent videos (V), before rating them in AV combinations. The cis group exhibited 30% more visual bias than the gender-expansive group. To further understand how gender-expansive participants obtain this benefit, we manipulated the fundamental frequency (in study 2) or the vocal tract length (in study 3) by ± 3 semitones from the original stimuli. Preliminary findings suggest that the two groups differ in the face of timbre but not pitch manipulations.
41
Fletcher, Heather, Amanda Krause, and Jane Davidson. "Examining How Voice Teachers Influence Student Achievement." Journal of Singing 79, no. 4 (February 22, 2023): 445–56. http://dx.doi.org/10.53830/hhjh1114.
Анотація:
While studies have defined voice teacher expertise, seldom have associations been made between voice teachers and their students’ performing achievements. This study investigated which characteristics and attributes of successful classical and music theatre voice teachers influence student success. A sample of 123 Australian voice teachers (77% females, 22% males, 1% non-binary), aged 26–78 years old (M=48.23), completed an online, quantitative survey examining teacher background, experience, and genre. Additionally, standardized, quantitative measures examined psychological components such as teacher empathy and leadership. Findings demonstrated statistically significant associations between greater student achievement and the teacher’s own performance and teacher training and achievements as well as the number of students they have taught. Additionally, teacher leadership, specifically training facilitation and positive feedback, was statistically positively associated with student achievement. Teacher genre was not found to influence student success. These findings indicate that incorporating leadership training into voice pedagogy courses, while facilitating ongoing performing and professional development, could contribute to voice teacher expertise which would conceivably produce more successful students.
42
Ma, Chao. "The role of approach and avoidance motivation in employee voice." International Journal of Productivity and Performance Management 65, no. 6 (July 11, 2016): 744–59. http://dx.doi.org/10.1108/ijppm-01-2016-0002.
Анотація:
Purpose – The purpose of this paper is to develop a model of the processes through which approach and avoidance motivation influence constructive and defensive voice behavior, with the moderating role of workplace ostracism and contingent self-esteem. Design/methodology/approach – The paper is conceptual and quantitative study should be conducted to explore the propositions proposed in this paper. Findings – This paper proposes that approach motivation is positively related to constructive voice while avoidance motivation is positively related to defensive voice. In addition, workplace ostracism and contingent self-esteem/importance of performance to self-esteem (IPSE) are examined as two moderators of the motivation-voice behavior relationship. Practical implications – By understanding employees’ different motives underpinning the voice behavior explained in this paper, it may be easier for management to take measures to facilitate constructive voice and abate defensive voice. Organizations may wish to formulate policies and regulations and to foster a climate to prevent ostracism from happening. Programs designed to develop employees with high IPSE may be implemented. Originality/value – Most of empirical work on voice has focussed on employee voice behaviors with positive attributes. This paper adopts approach and avoidance motivation as two antecedents, and grounded in self-regulation theory, exploring both positive and negative types of voice behavior. This paper also examines how negative interpersonal behavior such as ostracism affects voice behavior, and provide insights on upside of contingent self-esteem.
43
Whyte, Alison. "Gay Lee has all the attributes to make the voice of nursing heard." Nursing Standard 26, no. 15 (December 14, 2011): 35. http://dx.doi.org/10.7748/ns2011.12.26.15.35.p7193.
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Whyte, Alison. "Gay lee has all the attributes to make the voice of nursing heard." Nursing Standard 26, no. 17 (January 3, 2012): 35. http://dx.doi.org/10.7748/ns.26.17.35.s56.
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Ketrow, S. M. "Attributes of a telemarketer's voice and persuasiveness.A review and synthesis of the literature." Journal of Direct Marketing 4, no. 3 (1990): 7–21. http://dx.doi.org/10.1002/dir.4000040304.
46
Ludlow, Christy L., Rickie Domangue, Dinesh Sharma, H. A. Jinnah, Joel S. Perlmutter, Gerald Berke, Christine Sapienza, et al. "Consensus-Based Attributes for Identifying Patients With Spasmodic Dysphonia and Other Voice Disorders." JAMA Otolaryngology–Head & Neck Surgery 144, no. 8 (August 1, 2018): 657. http://dx.doi.org/10.1001/jamaoto.2018.0644.
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Kusumahadi, Krishna, Widya Sastika, and Fanni Husnul Hanifa. "E-ServiceQuality Model and Kano Model: An Integration Improvement on Service Quality in E-Commerce Services." International Journal of Entrepreneurship, Business and Creative Economy 2, no. 1 (January 31, 2022): 67–80. http://dx.doi.org/10.31098/ijebce.v2i1.738.
Анотація:
Indonesia has become the largest e-commerce market in South East Asia. According to Wearesocial and Hootsuite data, around 90% of internet users in Indonesia have experienced online shopping. In 2019, the e-commerce market's capital value in Indonesia reached USD 21 Million or about Rp 294 trillion. Based on McKinsey Report, the e-commerce industry in Indonesia is predicted to reach USD 40 million in 2022. The increase of online shopping activity reached 400% during the 2020 pandemic, causing a 23.11% increase in e-commerce service complaints. This research is conducted for improvement in e-commerce's service quality by integrating the kano model and E-ServiceQuality model. Results obtained from customers' needs will be true customer needs able to be analysed for the purpose of increasing satisfaction. Attributes of needs obtained from the voice of the customer will be grouped into E-ServiceQuality dimensions, such as Efficiency, Fulfilment, Reliability, privacy, responsiveness, compensation, and contact. Afterward, these attributes of needs will generate strong attributes and weak attributes grouped into several categories, kept, developed, and ignored. Based on the research conducted among 400 respondents, the conclusions to answer problems according to problem formulation within this research are obtained. The result of this classification is True Customer Needs, where the seven attributes are recommended to be improved, and one attribute is recommended to be developed. The eight attributes which become True Customer Needs are Interaction Channel, Customer Service Responsiveness, Website Feature, Up to Date Information, 24-hour Service, Quick Complaints Response, Cheap/Free Delivery Fee, and correct product guarantee.
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Smolak, Linda, and Britannie Fairman Munstertieger. "The Relationship of Gender and Voice to Depression and Eating Disorders." Psychology of Women Quarterly 26, no. 3 (September 2002): 234–41. http://dx.doi.org/10.1111/1471-6402.t01-1-00006.
Анотація:
Research often fails to document a gender difference in measures of voice. This is inconsistent with Gilligan's conceptualization of voice as a gendered construct. The purpose of the present study was to evaluate currently available measures of voice, particularly in terms of whether they appear to be assessing the same characteristics in men as in women. Eighty-seven men and 146 women, all college students, completed both the Silencing the Self Scale (STSS; Jack & Dill, 1992) and the Saying What I Think Around Others scale (SWIT; Harter and Waters, 1991). In addition, measures of depression and eating problems as well as the Personal Attributes Questionnaire were completed. Results indicated inconsistent gender differences on voice measures with some showing no differences, others showing men as having lower voice, and others showing lower voice in women. Correlations between the two voice measures for men and for women were small to moderate. As suggested by Harter, Waters, Whitesell, and Kastelic (1998), femininity was often negatively related to voice, though masculinity was more consistently, and positively, related. The link between lack of voice and psychopathology that has been suggested by various researchers was documented more clearly for women than for men. The results, then, show different patterns of relationships involving voice measures for men than for women. This raises the possibility that the measures are tapping different constructs in men and women, rendering mean comparisons questionable.
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Dou, Xiao, Li Yan, Kai Wu, and Jin Niu. "Effects of Voice and Lighting Color on the Social Perception of Home Healthcare Robots." Applied Sciences 12, no. 23 (November 28, 2022): 12191. http://dx.doi.org/10.3390/app122312191.
Анотація:
The influence of matching between robots’ social cues on users’ social perceptions should be investigated systematically to better fit robots to their occupational roles. In this study, an experiment with 69 older and middle-aged participants was conducted to explore the effects of the voice and lighting color of a home healthcare robot on users’ social perception, which was measured by the Robotic Social Attributes Scale (RoSAS). The results indicated that voice and lighting color significantly affected social perceptions of the healthcare robot. Specifically, the adopted robot received high warmth ratings when it had an adult female voice or a child voice, whereas it received high competence ratings when it had an adult male voice. The robot received a high warmth rating and a high competence rating when warm and cool lighting were used, respectively, as visual feedback. Furthermore, a mismatch in the robot’s voice and lighting color was discovered to evoke feelings of discomfort. The findings of this study can be used as a reference to design robots with acceptable social perception and to expand the roles of social robots in the future.
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Calahorra-Candao, Guillermo, and María José Martín-de Hoyos. "From Typing to Talking: Unveiling AI’s Role in the Evolution of Voice Assistant Integration in Online Shopping." Information 15, no. 4 (April 4, 2024): 202. http://dx.doi.org/10.3390/info15040202.
Анотація:
This study develops a theoretical framework integrating the Technology Acceptance Model (TAM) and Uses and Gratifications Theory (UGT) to predict and understand the acceptance of voice shopping intentions, particularly through AI-driven voice assistants. This research delves into the dual aspects of AI voice shopping platforms: the functional attributes outlined by the TAM and personal gratifications highlighted by the UGT, such as enjoyment, performance expectancy, and perceived safety. It uncovers a favorable user attitude towards voice shopping, emphasizing the significant role of performance expectancy and perceived utility on behavioral intentions. Key insights include the critical importance of security and privacy for user trust and the acceptance of new AI technologies, and the necessity of a balanced approach that merges functional, emotional, and security aspects for successful AI integration in daily technology use. Contrary to expectations, this study reveals a weak relationship between social norms and perceived usefulness, suggesting a misalignment with societal expectations. This research enriches the understanding of voice shopping using virtual assistants, offering valuable insights into consumer behavior and AI technology acceptance. It highlights practical implications for AI research, the development of voice-based software, and AI-driven advertising strategies, emphasizing the communication of benefits and emotional resonance in voice-enabled AI assistants for consumer purchases.