Academic literature on the topic 'Vocal identification'

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Journal articles on the topic "Vocal identification"

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Shastina, T. V. "Russian vocal school: traditions and perspectives." Vestnik of Saint Petersburg State University of Culture, no. 4 (45) (December 2020): 140–44. http://dx.doi.org/10.30725/2619-0303-2020-4-140-144.

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Russian vocal school as a significant part of the Russian and unique phenomenon of world musical culture, developed and developed as an original direction of vocal professional performance and vocal pedagogy. The evolution of vocal performance and vocal pedagogy, the formation and development of the Russian vocal school and its traditions have shown that vocal pedagogy develops together with vocal performance, analyzing and generalizing experience, creates and tests its methods, develops singing attitudes and develops pedagogical technologies that contribute to the education of singing culture. Russian singing traditions and vocal education, their scientific research and reproduction, identification of prospects for the development of the modern Russian vocal school, identification of ways to continue existing traditions, development and scientific justification of new vocal and pedagogical technologies are relevant today. The perspective of the development of the Russian vocal school is seen in the reproduction of traditions, scientific justification of its pedagogical foundations, in the formation of performers who have a high level of motivation for singing activities and physiological potential for mastering various phonation techniques, able to learn new things in the art of singing.
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Chinn, Beverly Johnson. "Vocal Self-Identification Singing Style, and Singing Range in Relationship to a Measure of Cultural Mistrust in African-American Adolescent Females." Journal of Research in Music Education 45, no. 4 (December 1997): 636–49. http://dx.doi.org/10.2307/3345428.

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The purpose of this study was to determine the relationship between high or low cultural mistrust and the vocal characteristics of African-American adolescent females (N = 44). The vocal characteristics were vocal self identification, singing style, and singing range. The subjects were assigned to high or low cultural mistrust groups based on scores on the Cultural Mistrust Inventory. A researcher-devised vocal self-identification survey provided information about the subjects' vocal self-concepts and acceptance of vocal models. Subjects sang “America” in a key and style of choice for the singing-style measurement. The performances were analyzed for eight style characteristics: bends, glides, breathiness, hoarseness, raspiness, dips, hard attacks, and emphasis of chest voice. Results indicated statistically significant differences between two groups on each vocal characteristic. The high-mistrust group demonstrated more characteristics associated with the African-American culture than did the low-mistrust group.
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Stankovic, P., M. Vasic, V. Djukic, Lj Janosevic, and M. Vukasinovic. "Vocal fold masses removal: The sub epithelial micro flap technique." Acta chirurgica Iugoslavica 55, no. 4 (2008): 43–47. http://dx.doi.org/10.2298/aci0804043s.

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Vocal fold mass removal techniques were significantly modified back in 1970s by Hirano's laminar vocal structure and physiology of phonation works, as well as Titze's vibratory vocal cycle works. New methods were to come. Removing the lession by maximum preservation of vocal laminar microstructure (lamina propria and epithelium) and minimal damage of surrounding normal vocal tissue, was pointed out. Microflap technique is based on presenting the superficial layer of lamina propria with the lesion and removing the lession without damage of the mucosa. Preserving of the mucosal layer provides the shield for vibratory substructures. There are two elementary approaches for microflap: lateral and medial. Lateral microflap technique enables better identification of vocal ligament and lowers the risk of it's injury, particularly when scars and tightly adherent lessions are present. This technique has been used in case of big or diffuse lesions, such as vocal oedema or vocal lygament identification difficulties (e.g. vocal scarification). Medial microflap technique seems to be appropriate in removing smaller, localized lessions, such as cysts and vocal polyps. Our 45 patients experience is presented in this article , in 30 patients lessions were removed by lateral microflap technique (46 vocal cords in total), while 15 patients were treated by medial microflap technique. The outcome was assumed by endovideolaryngostroboscopic analysis of glottal occlusion and mucosal wave prior and following to the procedure. Reinke oedema management results were analysed separately.
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Thibeault, Susan L., Wenhua Li, and Stephanie Bartley. "A method for identification of vocal fold lamina propria fibroblasts in culture." Otolaryngology–Head and Neck Surgery 139, no. 6 (December 2008): 816–22. http://dx.doi.org/10.1016/j.otohns.2008.09.009.

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Objective Vocal fold biology research is emerging as a vital area of study in laryngology. One impediment is the lack of both commercially available vocal fold lamina propria fibroblasts and a constitutively expressed specific marker for fibroblasts. We present an in vitro technique that allows for identification of fibroblasts by ruling out the possibility of the cells belonging to other lineages that are found in vocal fold tissue. Study Design An in vitro study. Methods Two primary vocal fold fibroblast cell lines and one immortalized vocal fold fibroblast cell line were cultured. Immunohistologic staining for α-actinin, cytokeratin 19, and von Willebrand factor was completed for the three fibroblast lines in addition to skeletal, endothelial, and epithelial cell lines. Cell type was differentiated by positive staining for α-actinin, cytokeratin 19, and von Willebrand factor. Results Fibroblast cultures did not express α-actinin, cytokeratin 19, and von Willebrand factor, whereas skeletal muscle, endothelial, and epithelial cultured cells expressed each respectively. Conclusions This simple rule-out methodology for fibroblast confirmation is an important step when establishing cell culture, and it establishes sound internal validity particularly in the early stages of this emerging area of study.
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Mello, Claudio V. "Identification and analysis of vocal communication pathways in birds through inducible gene expression." Anais da Academia Brasileira de Ciências 76, no. 2 (June 2004): 243–46. http://dx.doi.org/10.1590/s0001-37652004000200008.

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The immediate-early gene zenk is an activity-dependent gene highly induced in auditory processing or vocal motor control brain areas when birds engage in hearing or producing song, respectively. Studies of the expression of zenk in songbirds and other avian groups will be reviewed here briefly, with a focus on how this analysis has generated new insights on the brain pathways and mechanisms involved in perceptual and motor aspects of vocal communication and vocal learning.
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Franco, Fabia, Marcia Chew, and Joel Simon Swaine. "Preschoolers’ attribution of affect to music: A comparison between vocal and instrumental performance." Psychology of Music 45, no. 1 (August 6, 2016): 131–49. http://dx.doi.org/10.1177/0305735616652954.

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Research has shown inconsistent results concerning the ability of young children to identify musical emotion. This study explores the influence of the type of musical performance (vocal vs. instrumental) on children’s affect identification. Using an independent-group design, novel child-directed music was presented in three conditions: instrumental, vocal-only, and song (instrumental plus vocals) to 3- to 6-year-olds previously screened for language development ( N = 76). A forced-choice task was used in which children chose a face expressing the emotion matching each musical track. All performance conditions comprised “happy” (major mode/fast tempo) and “sad” (minor mode/slow tempo) tracks. Nonsense syllables rather than words were used in the vocals in order to avoid the influence of lyrics on children’s decisions. The results showed that even the younger children were able to correctly identify the intended emotion in music, although “happy” music was more readily recognised and recognition appeared facilitated in the instrumental condition. Performance condition interacted with gender.
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AHO, MARKO. "Gestures in vocal performance and the experience of the listener: a case study of extra-semantic meaning-making in the singing of Olavi Virta." Popular Music 28, no. 1 (January 2009): 33–51. http://dx.doi.org/10.1017/s0261143008001566.

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AbstractAt the level of micro-intonation, singing provides an object for intimate corporeal identification for the listener. In fact, the listener can, by way of vocal identification, achieve a direct corporeal relationship with the vocal performance. Similarly, the researcher can use his/her own purposeful identification and imitation as a means of observation. ‘Once in a century’ is a description often attached to the legendary singer Olavi Virta (1915–1972), who had a significant impact on Finnish popular music during the 1950s and is considered a cultural icon by many Finns. In this article, the vocal performance on the novelty recording ‘Luonasi jos oisin (‘If I were there with you’)/Isn’t it Romantic?’ is studied in order to map out its gestural content. Olavi Virta was in possession of a rich arsenal of vocal gestures. The gestures shared a relationship with the semantic content of the lyrics – not always mimetic but often contrapuntal, polarising, or estranging.
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Costa, Marília Batista, Taynara Oliveira Ledo, Mariana Delgado Fernandes, and Romualdo Suzano Louzeiro Tiago. "The Importance of Inspiratory Maneuver for Benign Laryngeal Lesions." International Archives of Otorhinolaryngology 24, no. 04 (April 24, 2020): e513-e517. http://dx.doi.org/10.1055/s-0040-1702968.

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Abstract Introduction Inspiratory maneuver corresponds to a simple method used during videolaryngoscopy to increase characterizations of laryngeal findings, through the movement of the vocal fold cover and exposure of the ligament, facilitating its evaluation. Objective To evaluate the increase in diagnosis of benign laryngeal lesions from the usage of inspiratory maneuvers during videolaryngoscopy in patients with or without vocal complaints. Methods A cross-sectional study performed from March 1 to July 1, 2018, in the Laryngology sector of a tertiary hospital. The age of the patients varied from 18 to 60 years old. They were divided into two groups, symptomatic and asymptomatic vocals, and evaluated through videolaryngoscopy together with inspiratory maneuvers. The exams were recorded and later evaluated by three trained laryngologists who determined the laryngeal lesions before and after the inspiratory maneuver. Results There were 60 patients in this sample, 41 of which were vocal symptomatic and 19 asymptomatic. The majority was female and the main complaint was about dysphonia. Before the inspiratory maneuver, the most observed lesions in both groups were chronic laryngitis, followed by vascular dysgenesis. After the inspiratory maneuver, sulcus vocalis was the most frequent additional finding. Conclusion With the inspiratory maneuver, it was possible to increase the identification of structural lesions in the vocal fold, and the most frequent lesion in patients with or without vocal complaints was sulcus vocalis.
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Pemberton, D., and I. Sommerville. "VOCAL: A framework for test identification and deployment." IEE Proceedings - Software Engineering 144, no. 5-6 (1997): 249. http://dx.doi.org/10.1049/ip-sen:19971643.

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Lemaitre, Guillaume, Arnaud Dessein, Patrick Susini, and Karine Aura. "Vocal Imitations and the Identification of Sound Events." Ecological Psychology 23, no. 4 (November 7, 2011): 267–307. http://dx.doi.org/10.1080/10407413.2011.617225.

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Dissertations / Theses on the topic "Vocal identification"

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Wildermoth, Brett Richard, and n/a. "Text-Independent Speaker Recognition Using Source Based Features." Griffith University. School of Microelectronic Engineering, 2001. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040831.115646.

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Speech signal is basically meant to carry the information about the linguistic message. But, it also contains the speaker-specific information. It is generated by acoustically exciting the cavities of the mouth and nose, and can be used to recognize (identify/verify) a person. This thesis deals with the speaker identification task; i.e., to find the identity of a person using his/her speech from a group of persons already enrolled during the training phase. Listeners use many audible cues in identifying speakers. These cues range from high level cues such as semantics and linguistics of the speech, to low level cues relating to the speaker's vocal tract and voice source characteristics. Generally, the vocal tract characteristics are modeled in modern day speaker identification systems by cepstral coefficients. Although, these coeficients are good at representing vocal tract information, they can be supplemented by using both pitch and voicing information. Pitch provides very important and useful information for identifying speakers. In the current speaker recognition systems, it is very rarely used as it cannot be reliably extracted, and is not always present in the speech signal. In this thesis, an attempt is made to utilize this pitch and voicing information for speaker identification. This thesis illustrates, through the use of a text-independent speaker identification system, the reasonable performance of the cepstral coefficients, achieving an identification error of 6%. Using pitch as a feature in a straight forward manner results in identification errors in the range of 86% to 94%, and this is not very helpful. The two main reasons why the direct use of pitch as a feature does not work for speaker recognition are listed below. First, the speech is not always periodic; only about half of the frames are voiced. Thus, pitch can not be estimated for half of the frames (i.e. for unvoiced frames). The problem is how to account for pitch information for the unvoiced frames during recognition phase. Second, the pitch estimation methods are not very reliable. They classify some of the frames unvoiced when they are really voiced. Also, they make pitch estimation errors (such as doubling or halving of pitch value depending on the method). In order to use pitch information for speaker recognition, we have to overcome these problems. We need a method which does not use the pitch value directly as feature and which should work for voiced as well as unvoiced frames in a reliable manner. We propose here a method which uses the autocorrelation function of the given frame to derive pitch-related features. We call these features the maximum autocorrelation value (MACV) features. These features can be extracted for voiced as well as unvoiced frames and do not suffer from the pitch doubling or halving type of pitch estimation errors. Using these MACV features along with the cepstral features, the speaker identification performance is improved by 45%.
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Wildermoth, Brett Richard. "Text-Independent Speaker Recognition Using Source Based Features." Thesis, Griffith University, 2001. http://hdl.handle.net/10072/366289.

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Speech signal is basically meant to carry the information about the linguistic message. But, it also contains the speaker-specific information. It is generated by acoustically exciting the cavities of the mouth and nose, and can be used to recognize (identify/verify) a person. This thesis deals with the speaker identification task; i.e., to find the identity of a person using his/her speech from a group of persons already enrolled during the training phase. Listeners use many audible cues in identifying speakers. These cues range from high level cues such as semantics and linguistics of the speech, to low level cues relating to the speaker's vocal tract and voice source characteristics. Generally, the vocal tract characteristics are modeled in modern day speaker identification systems by cepstral coefficients. Although, these coeficients are good at representing vocal tract information, they can be supplemented by using both pitch and voicing information. Pitch provides very important and useful information for identifying speakers. In the current speaker recognition systems, it is very rarely used as it cannot be reliably extracted, and is not always present in the speech signal. In this thesis, an attempt is made to utilize this pitch and voicing information for speaker identification. This thesis illustrates, through the use of a text-independent speaker identification system, the reasonable performance of the cepstral coefficients, achieving an identification error of 6%. Using pitch as a feature in a straight forward manner results in identification errors in the range of 86% to 94%, and this is not very helpful. The two main reasons why the direct use of pitch as a feature does not work for speaker recognition are listed below. First, the speech is not always periodic; only about half of the frames are voiced. Thus, pitch can not be estimated for half of the frames (i.e. for unvoiced frames). The problem is how to account for pitch information for the unvoiced frames during recognition phase. Second, the pitch estimation methods are not very reliable. They classify some of the frames unvoiced when they are really voiced. Also, they make pitch estimation errors (such as doubling or halving of pitch value depending on the method). In order to use pitch information for speaker recognition, we have to overcome these problems. We need a method which does not use the pitch value directly as feature and which should work for voiced as well as unvoiced frames in a reliable manner. We propose here a method which uses the autocorrelation function of the given frame to derive pitch-related features. We call these features the maximum autocorrelation value (MACV) features. These features can be extracted for voiced as well as unvoiced frames and do not suffer from the pitch doubling or halving type of pitch estimation errors. Using these MACV features along with the cepstral features, the speaker identification performance is improved by 45%.
Thesis (Masters)
Master of Philosophy (MPhil)
School of Microelectronic Engineering
Faculty of Engineering and Information Technology
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Lauritzen, Michael Kenneth. "Acoustic Mediation of Vocalized Emotion Identification: Do Decoders Identify Emotions Idiographically or Nomothetically?" Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd3352.pdf.

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GROVES, WRIGHT KATHY J. "ACOUSTICS AND PERCEPTION OF WET VOCAL QUALITY IN IDENTIFYING PENETRATION/ASPIRATION DURING SWALLOWING." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1176987749.

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Johnson, Beverly Yvonne. "Vocal Self-identification, Singing Style, and Singing Range in Relationship to a Measure of Cultural Mistrust in African-American Adolescent Females." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc278339/.

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The purpose was to determine the relationship between high or low cultural mistrust and vocal characteristics in African-American adolescent females. The vocal characteristics were vocal self-identification, singing style, and singing range.
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Wong, Kim-Yung Eddie. "Automatic spoken language identification utilizing acoustic and phonetic speech information." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/37259/1/Kim-Yung_Wong_Thesis.pdf.

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Automatic spoken Language Identi¯cation (LID) is the process of identifying the language spoken within an utterance. The challenge that this task presents is that no prior information is available indicating the content of the utterance or the identity of the speaker. The trend of globalization and the pervasive popularity of the Internet will amplify the need for the capabilities spoken language identi¯ca- tion systems provide. A prominent application arises in call centers dealing with speakers speaking di®erent languages. Another important application is to index or search huge speech data archives and corpora that contain multiple languages. The aim of this research is to develop techniques targeted at producing a fast and more accurate automatic spoken LID system compared to the previous National Institute of Standards and Technology (NIST) Language Recognition Evaluation. Acoustic and phonetic speech information are targeted as the most suitable fea- tures for representing the characteristics of a language. To model the acoustic speech features a Gaussian Mixture Model based approach is employed. Pho- netic speech information is extracted using existing speech recognition technol- ogy. Various techniques to improve LID accuracy are also studied. One approach examined is the employment of Vocal Tract Length Normalization to reduce the speech variation caused by di®erent speakers. A linear data fusion technique is adopted to combine the various aspects of information extracted from speech. As a result of this research, a LID system was implemented and presented for evaluation in the 2003 Language Recognition Evaluation conducted by the NIST.
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Kahn, Juliette. "Parole de locuteur : performance et confiance en identification biométrique vocale." Phd thesis, Université d'Avignon, 2011. http://tel.archives-ouvertes.fr/tel-00995071.

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Ce travail de thèse explore l'usage biométrique de la parole dont les applications sont très nombreuses (sécurité, environnements intelligents, criminalistique, surveillance du territoire ou authentification de transactions électroniques). La parole est soumise à de nombreuses contraintes fonction des origines du locuteur (géographique, sociale et culturelle) mais également fonction de ses objectifs performatifs. Le locuteur peut être considéré comme un facteur de variation de la parole, parmi d'autres. Dans ce travail, nous présentons des éléments de réponses aux deux questions suivantes :- Tous les extraits de parole d'un même locuteur sont-ils équivalents pour le reconnaître ?- Comment se structurent les différentes sources de variation qui véhiculent directement ou indirectement la spécificité du locuteur ? Nous construisons, dans un premier temps, un protocole pour évaluer la capacité humaine à discriminer un locuteur à partir d'un extrait de parole en utilisant les données de la campagne NIST-HASR 2010. La tâche ainsi posée est difficile pour nos auditeurs, qu'ils soient naïfs ou plus expérimentés.Dans ce cadre, nous montrons que ni la (quasi)unanimité des auditeurs ni l'auto-évaluation de leurs jugements ne sont des gages de confiance dans la véracité de la réponse soumise.Nous quantifions, dans un second temps, l'influence du choix d'un extrait de parole sur la performance des systèmes automatiques. Nous avons utilisé deux bases de données, NIST et BREF ainsi que deux systèmes de RAL, ALIZE/SpkDet (LIA) et Idento (SRI). Les systèmes de RAL, aussi bienfondés sur une approche UBM-GMM que sur une approche i-vector montrent des écarts de performances importants mesurés à l'aide d'un taux de variation autour de l'EER moyen, Vr (pour NIST, VrIdento = 1.41 et VrALIZE/SpkDet = 1.47 et pour BREF, Vr = 3.11) selon le choix du fichier d'apprentissage utilisé pour chaque locuteur. Ces variations de performance, très importantes, montrent la sensibilité des systèmes automatiques au choix des extraits de parole, sensibilité qu'il est important de mesurer et de réduire pour rendre les systèmes de RAL plus fiables.Afin d'expliquer l'importance du choix des extraits de parole, nous cherchons les indices les plus pertinents pour distinguer les locuteurs de nos corpus en mesurant l'effet du facteur Locuteur sur la variance des indices (h2). La F0 est fortement dépendante du facteur Locuteur, et ce indépendamment de la voyelle. Certains phonèmes sont plus discriminants pour le locuteur : les consonnes nasales, les fricatives, les voyelles nasales, voyelles orales mi-fermées à ouvertes.Ce travail constitue un premier pas vers une étude plus précise de ce qu'est le locuteur aussi bien pour la perception humaine que pour les systèmes automatiques. Si nous avons montré qu'il existait bien une différence cepstrale qui conduisait à des modèles plus ou moins performants, il reste encore à comprendre comment lier le locuteur à la production de la parole. Enfin, suite à ces travaux, nous souhaitons explorer plus en détail l'influence de la langue sur la reconnaissance du locuteur. En effet, même si nos résultats indiquent qu'en anglais américain et en français, les mêmes catégories de phonèmes sont les plus porteuses d'information sur le locuteur, il reste à confirmer ce point et à évaluer ce qu'il en est pour d'autres langues
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Tournemire, Stéphanie de. "Identification et génération automatique de contours prosodiques pour la synthèse vocale à partir du texte en français." Paris, ENST, 1998. http://www.theses.fr/1998ENST0017.

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En français, comme dans la plupart des langues indo-européennes, la prosodie dépend de nombreux facteurs (la syntaxe, la sémantique, la pragmatique, le locuteur) difficiles à modéliser par un seul système de synthèse à partir du texte (tts). Ainsi, généralement, la création d'une nouvelle voix synthétique consiste à modifier les niveaux acoustiques sans introduire de nouvelles caractéristiques prosodiques. Les techniques d'apprentissage automatique permettent d'extraire automatiquement les régularités prosodiques présentes dans un corpus de parole enregistrée. Néanmoins, ces techniques nécessitent la transcription prosodique (souvent) manuelle de corpus importants, créant par là-même un frein à l'acquisition rapide de nouveaux modèles prosodiques. Cette étude propose une solution permettant de capturer automatiquement une nouvelle prosodie à partir d'un corpus de parole enregistrée. La méthodologie de construction du modelé prosodique comporte trois principales étapes : la transcription prosodique semi-automatique d'un corpus enregistre, l'apprentissage automatique d'un modèle de prédiction des contours prosodiques à partir du corpus transcrit et l'intégration de ce modèle dans un système de synthèse de parole à partir du texte. La mise au point de la méthodologie s'appuie sur la réalisation d'un modèle prosodique de f0 et des durées pour le français à partir d'un corpus enregistre. L'erreur objective moyenne produite par le modèle sur la base de test est de 20 hz pour f0 et de 17 ms pour les durées des phonèmes. Les résultats d'un test subjectif ont situé le modèle prosodique développe comme équivalent au système standard de génération des contours prosodiques du cnet (cnetvox). La méthodologie est appliquée à l'acquisition des paramètres prosodiques d'un second locuteur à partir d'un corpus enregistre par ce nouveau locuteur. Les performances du nouveau modèle prosodique permettent de valider la méthodologie.
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Tournemire, Stéphanie de. "Identification et génération automatique de contours prosodiques pour la synthèse vocale à partir du texte en français /." Paris : École nationale supérieure des télécommunications, 1998. http://catalogue.bnf.fr/ark:/12148/cb37047416b.

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Sèbe, Frédéric. "Mise en place de la reconnaissance acoustique mère-jeune et identification des caractéristiques de la signature vocale individuelle chez les ovins." Tours, 2007. http://www.theses.fr/2007TOUR4010.

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Chez les ovins, la relation mère-jeune se caractérise par le maintien d’un contact étroit entre les deux partenaires grâce à une reconnaissance interindividuelle multimodale, essentielle pour la survie du jeune. L’objet du présent travail a été d’analyser la mise en place de la communication acoustique entre la brebis et son agneau et de rechercher les paramètres physiques des vocalisations qui permettent une reconnaissance vocale chez la mère et chez son jeune. Nos résultats montrent que la communication vocale est un élément très important pour le maintien d’une reconnaissance entre la brebis et son agneau à distance 48 h après la naissance. Nos travaux montrent également que les mécanismes de codage de la signature individuelle reposent sur un codage multiparamétrique. Enfin ils soulignent l’importance du contexte comportemental et physiologique (comportement de tétée) dans l’établissement et l’expression de la reconnaissance acoustique interindividuelle
In sheep, mother-young relationships are characterized by a close contact between the two partners depending on multimodal inter-individual recognition that is critical for lamb survival. The aim of the present work was to analyze the establishment of acoustic communication between the ewe and her lamb between parturition and Day 15 of lactation and to identify the physical parameters used in the recognition of vocalizations in the ewe and the lamb. Our results indicate that vocal communication is very important for the maintenance of recognition between the ewe and her lamb at a distance at 48 hours after parturition. Our studies also demonstrate that the encoding of the individual signature is not limited to the frequency domain but rather involves a multidimensional encoding process. Finally, they underline the importance of the behavioural and physiological context (suckling behaviour) for the establishment and display of inter-individual acoustic recognition
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Books on the topic "Vocal identification"

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Davé, Shilpa S. Introduction. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037405.003.0001.

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This introductory chapter first sets out the book's purpose, which is to examine the representations and stereotypes of South Asian Americans in relation to immigrant narratives of assimilation in American film and television. It theorizes the performance of accent as a means of representing race and particularly national origin beyond visual identification. For South Asians, accent simultaneously connotes difference and privilege. To focus on an Indian vocal accent is to reconsider racialization predicated on visual recognition. The remainder of the chapter discusses vocal accents and racial hierarchies; South Asian American and Indian American identities; popular Culture, Orientalism, and racial performance; and comedy and racial performance. It concludes with an overview of the subsequent chapters.
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Book chapters on the topic "Vocal identification"

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Kawakami, Yuta, Longbiao Wang, Atsuhiko Kai, and Seiichi Nakagawa. "Speaker Identification by Combining Various Vocal Tract and Vocal Source Features." In Text, Speech and Dialogue, 382–89. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10816-2_46.

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Zhu, Fangqi, Qilian Liang, and Zhen Zhong. "Sequential Modeling for Polyps Identification from the Vocal Data." In Lecture Notes in Electrical Engineering, 945–54. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_113.

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Brotherton, Kimberly, Jangwoon Park, Dugan Um, and Mehrube Mehrubeoglu. "Identification of the Relationships Between a Vocal Attribute and a Personality." In Advances in Intelligent Systems and Computing, 163–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20467-9_15.

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Banerjee, Kaushik, Anirban Patranabis, Ranjan Sengupta, and Dipak Ghosh. "Style Identification of Vocal Singers in Indian Classical Music Using Meend and Andolan." In Advances in Speech and Music Technology, 67–82. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6881-1_7.

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Story, Brad H., and Kate Bunton. "Simulation and Identification of Vowels Based on a Time-Varying Model of the Vocal Tract Area Function." In Vowel Inherent Spectral Change, 155–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-14209-3_7.

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Oswald, Julie N., Christine Erbe, William L. Gannon, Shyam Madhusudhana, and Jeanette A. Thomas. "Detection and Classification Methods for Animal Sounds." In Exploring Animal Behavior Through Sound: Volume 1, 269–317. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97540-1_8.

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AbstractClassification of the acoustic repertoires of animals into sound types is a useful tool for taxonomic studies, behavioral studies, and for documenting the occurrence of animals. Classification of acoustic repertoires enables the identification of species, age, gender, and individual identity, correlations between sound types and behavior, the identification of changes in vocal behavior over time or in response to anthropogenic noise, comparisons between the repertoires of populations living in different geographic regions and environments, and the development of software tools for automated signal processing. Techniques for classification have evolved over time as technical capabilities have expanded. Initially, researchers applied qualitative methods, such as listening and visually discerning sounds in spectrograms. Advances in computer technology and the development of software for the automatic detection and classification of sounds have allowed bioacousticians to quickly find sounds in recordings, thus significantly reducing analysis time and enabling the analysis of larger datasets. In this chapter, we present software algorithms for automated signal detection (based on energy, Teager–Kaiser energy, spectral entropy, matched filtering, and spectrogram cross-correlation) as well as for signal classification (e.g., parametric clustering, principal component analysis, discriminant function analysis, classification trees, artificial neural networks, random forests, Gaussian mixture models, support vector machines, dynamic time-warping, and hidden Markov models). Methods for evaluating the performance of automated tools are presented (i.e., receiver operating characteristics and precision-recall) and challenges with classifying animal sounds are discussed.
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"The Human Vocal Tract And The Production And Description Of Speech Sounds." In Forensic Speaker Identification. CRC Press, 2002. http://dx.doi.org/10.1201/9780203166369.ch6.

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"The human vocal tract and the production and description of speech sounds." In Forensic Speaker Identification, 141–90. CRC Press, 2002. http://dx.doi.org/10.1201/9780203166369-7.

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Garrett, Matthew L., and Joshua Palkki. "Celebrating TGE Singers in Choral Classrooms." In Honoring Trans and Gender-Expansive Students in Music Education, 155–86. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197506592.003.0007.

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Trans and gender-expansive (TGE) singers experience music-making challenges specific to their vocal instruments. This chapter is devoted solely to choirs and the TGE students who sing in them. A brief opening discussion contextualizes how vocal music can be a gendered art form. Challenges and potential solutions are described for singers participating in single-gender choirs. The middle section of the chapter focuses on inclusive vocal pedagogy, including discussions of congruence of voice identity and gender identity, voice part identification, and the application of Universal Design for Learning to choral classrooms. Voice masculinization and voice feminization are described, with a focus on how they might impact singers’ voices. Healthy group vocal technique exercises are discussed, with examples provided in Appendix D. Additional suggestions for inclusive choral techniques include ideas for standing and seating rehearsal arrangements and working with heteronormative and cisnormative texts.
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Amali, S. Miruna Joe, Manjula Devi C., and Rajeswari G. "Evolution of Deep Learning for Biometric Identification and Recognition." In Advances in Computational Intelligence and Robotics, 147–60. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8892-5.ch009.

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Biometrics is a method based on the recognition of the biological characteristics of an individual like fingerprint, vocal, and facial features. Biometric features hold a unique place when it comes to recognition, authentication, and security applications as they cannot be easily duplicated. Deep learning-based models have been very successful in achieving better efficiency in biometric recognition. They are more beneficial because deep learning-based models provide an end-to-end learning framework.
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Conference papers on the topic "Vocal identification"

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Nidhyananthan, S. Selva, R. Shantha Selva Kumari, and G. Jaffino. "Robust speaker identification using vocal source information." In 2012 International Conference on Devices, Circuits and Systems (ICDCS 2012). IEEE, 2012. http://dx.doi.org/10.1109/icdcsyst.2012.6188700.

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Wang, Jianglin, and Michael T. Johnson. "Vocal source features for bilingual speaker identification." In 2013 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP). IEEE, 2013. http://dx.doi.org/10.1109/chinasip.2013.6625321.

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Teixeira, Felipe, and João Teixeira. "Deep-learning in Identification of Vocal Pathologies." In 13th International Conference on Bio-inspired Systems and Signal Processing. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009148802880295.

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Maddage, N. C., Changsheng Xu, and Ye Wang. "Singer identification based on vocal and instrumental models." In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1334225.

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Brungart, Douglas S., Kimberly R. Scott, and Brian D. Simpson. "The influence of vocal effort on human speaker identification." In 7th European Conference on Speech Communication and Technology (Eurospeech 2001). ISCA: ISCA, 2001. http://dx.doi.org/10.21437/eurospeech.2001-236.

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Weiqiang Zhang, Jia Liu, and Liang He. "Auditory features with vocal track length normalization for language identification." In 2008 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2008. http://dx.doi.org/10.1109/icalip.2008.4590021.

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Silva, Samuel, and António Teixeira. "Critical Articulators Identification from RT-MRI of the Vocal Tract." In Interspeech 2017. ISCA: ISCA, 2017. http://dx.doi.org/10.21437/interspeech.2017-742.

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Xu, Tianqi, Keqiao Feng, Yiwen Ge, Xiaojun Zhang, and Zhi Tao. "Identification of vocal nodules and laryngitis by Gauss mixture model." In 2017 4th International Conference on Systems and Informatics (ICSAI). IEEE, 2017. http://dx.doi.org/10.1109/icsai.2017.8248449.

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Calderon-Sambarino, Julia, and Sergio Suarez-Guerra. "Vocal Stability Parameters for Identification of Voices from Deaf People." In 2006 15th International Conference on Computing. IEEE, 2006. http://dx.doi.org/10.1109/cic.2006.72.

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Cesarini, Valerio, Carlo Robotti, Ylenia Piromalli, Francesco Mozzanica, Antonio Schindler, Giovanni Saggio, and Giovanni Costantini. "Machine Learning-based Study of Dysphonic Voices for the Identification and Differentiation of Vocal Cord Paralysis and Vocal Nodules." In 15th International Conference on Bio-inspired Systems and Signal Processing. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010913800003123.

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Reports on the topic "Vocal identification"

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Pinzón-Puerto, Freddy, and Mauricio Villamizar-Villegas. Do Actions Speak Louder than Words? A Foreign Exchange Intervention Analysis. Banco de la República Colombia, January 2023. http://dx.doi.org/10.32468/be.1223.

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We revisit an old question but with a new identification strategy, namely the difference in exchange rate effects between announced (“vocal”) and secret (“dirty”) foreign exchange intervention. Using a Regression Discontinuity Design, we exploit a rule-based intervention mechanism enacted by the Central Bank of Colombia that, under observable and deterministic conditions, triggered either the issuance of FX options or the ability to exercise them. We take the former (issuance) as central bank announcements under a sharp setting, since the rule and information that triggered the issuance of options was public, and we take the latter (exercise) as secret trades under a fuzzy setting, since traders could have chosen (but were not required) to exercise their options in the following days after issuance. Our results indicate that, unconditionally, both announcements and secret trades carry similar effects. However, the effects of announcements are considerably amplified conditional on: (i) higher central bank credibility, (ii) less frequent announcements, and (iii) episodes of higher FX volatility.
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Corriveau, L., J. F. Montreuil, O. Blein, E. Potter, M. Ansari, J. Craven, R. Enkin, et al. Metasomatic iron and alkali calcic (MIAC) system frameworks: a TGI-6 task force to help de-risk exploration for IOCG, IOA and affiliated primary critical metal deposits. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329093.

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Australia's and China's resources (e.g. Olympic Dam Cu-U-Au-Ag and Bayan Obo REE deposits) highlight how discovery and mining of iron oxide copper-gold (IOCG), iron oxide±apatite (IOA) and affiliated primary critical metal deposits in metasomatic iron and alkali-calcic (MIAC) mineral systems can secure a long-term supply of critical metals for Canada and its partners. In Canada, MIAC systems comprise a wide range of undeveloped primary critical metal deposits (e.g. NWT NICO Au-Co-Bi-Cu and Québec HREE-rich Josette deposits). Underexplored settings are parts of metallogenic belts that extend into Australia and the USA. Some settings, such as the Camsell River district explored by the Dene First Nations in the NWT, have infrastructures and 100s of km of historic drill cores. Yet vocabularies for mapping MIAC systems are scanty. Ability to identify metasomatic vectors to ore is fledging. Deposit models based on host rock types, structural controls or metal associations underpin the identification of MIAC-affinities, assessment of systems' full mineral potential and development of robust mineral exploration strategies. This workshop presentation reviews public geoscience research and tools developed by the Targeted Geoscience Initiative to establish the MIAC frameworks of prospective Canadian settings and global mining districts and help de-risk exploration for IOCG, IOA and affiliated primary critical metal deposits. The knowledge also supports fundamental research, environmental baseline assessment and societal decisions. It fulfills objectives of the Canadian Mineral and Metal Plan and the Critical Mineral Mapping Initiative among others. The GSC-led MIAC research team comprises members of the academic, private and public sectors from Canada, Australia, Europe, USA, China and Dene First Nations. The team's novel alteration mapping protocols, geological, mineralogical, geochemical and geophysical framework tools, and holistic mineral systems and petrophysics models mitigate and solve some of the exploration and geosciences challenges posed by the intricacies of MIAC systems. The group pioneers the use of discriminant alteration diagrams and barcodes, the assembly of a vocab for mapping and core logging, and the provision of field short courses, atlas, photo collections and system-scale field, geochemical, rock physical properties and geophysical datasets are in progress to synthesize shared signatures of Canadian settings and global MIAC mining districts. Research on a metamorphosed MIAC system and metamorphic phase equilibria modelling of alteration facies will provide a foundation for framework mapping and exploration of high-grade metamorphic terranes where surface and near surface resources are still to be discovered and mined as are those of non-metamorphosed MIAC systems.
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