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Articles de revues sur le sujet « Voice »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 25 juillet 2025

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1

Yancey, Kathleen Blake. "Voices on Voice." College Composition and Communication 47, no. 1 (1996): 135. http://dx.doi.org/10.2307/358288.

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Kim, Hyo Chang, Min Chul Cha, and Yong Gu Ji. "The Impact of an Agent’s Voice in Psychological Counseling: Session Evaluation and Counselor Rating." Applied Sciences 11, no. 7 (2021): 2893. http://dx.doi.org/10.3390/app11072893.

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As an agent delivers content during the communication between an artificial intelligence (AI) machine and a person, the voice of the agent is a crucial factor to be considered. Particularly in the fields of eHealth, the perception of users toward an agent is crucial as it significantly affects the communication between the agent and its patients, as well as the treatment results. Thus, this study examined the effects of the voice of an agent on the perception of users toward the agent and its counseling effects. This study developed a psychological counseling agent with four voices according t

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Morsberger, Katharine M. "Voices of Translation: Poet's Voice and Woman's Voice." Pacific Coast Philology 28, no. 1 (1993): 3. http://dx.doi.org/10.2307/1316419.

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Menezes Araujo, Ana Claudia, and Fábio Bonfim Duarte. "A natureza sintático-semântica do núcleo voice anticausativo na língua Guajajára." Revista Linguíʃtica 20, no. 3 (2024): 331–52. https://doi.org/10.31513/linguistica.2024.v20n3a65637.

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Este artigo tem por objetivo investigar o comportamento sintático-semântico das sentenças anticausativas da língua Guajajára. Esta é uma língua afiliada à família linguística Tupi-Guarani, tronco Tupi. Identificamos que, nessa língua, ocorrem tanto anticausativas marcadas, as quais vêm realizadas por meio do prefixo de voz anticausativa {ze-}, quanto anticausativas não marcadas morfologicamente. Neste estudo, adotamos a abordagem teórica de Alexiadou, Anagnostopolou e Schäfer (2015), segundo a qual a alternância causativa é regulada pelos tipos de núcleo Voice que podem figurar na estrutur

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Sorrell, Eleanor, Mark Hayward, and Sara Meddings. "Interpersonal Processes and Hearing Voices: A Study of the Association Between Relating to Voices and Distress in Clinical and Non-Clinical Hearers." Behavioural and Cognitive Psychotherapy 38, no. 2 (2009): 127–40. http://dx.doi.org/10.1017/s1352465809990506.

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Background:Previous research suggests that the distress experienced by clinical voice hearers is associated with the perceived relationship between voice and hearer, independent of beliefs about voices and depression.Aims:This study aimed to replicate these findings and generate further hypotheses by comparing the voice hearing experiences of clinical and non-clinical hearers.Method:A cross-sectional, quantitative design was employed and used between-subjects and correlational methods. Thirty-two clinical voice hearers and 18 non-clinical voice hearers were assessed using the PSYRATS, the Voic

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Halliwell, Michael. "‘Voices within the Voice’: Conceiving Voice in Contemporary Opera." Musicology Australia 36, no. 2 (2014): 254–72. http://dx.doi.org/10.1080/08145857.2014.958271.

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ВАРЕЦЬКА, Софія, Світлана МАЦЕНКА, Діана МЕЛЬНИК та Ярина ТАРАСЮК. "Медійність голосу у драматичному тексті Лесі Українки". Studia Ucrainica Varsoviensia, № 11 (4 грудня 2023): 75–93. http://dx.doi.org/10.31338/2299-7237suv.11.5.

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Based on the theory of mediative nature of writing the article analyzes the dramatization of voices in Lesya Ukrainka’s dramatic poem Cassandra (1907). The analysis of the text revealed that the author uses voices to create unique characters’ portraits, she skillfully introduces voice gestures, plays with voice masks. Different types of voices have been outlined in Lesya Ukrainka’s text and characterized in the article: the author’s voice, voice of the text, voice of silence, prophetic voice, cry voice, singing voice. Considering the ideas expressed by the researchers in the fi eld of the theo

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Robson, George, and Oliver Mason. "Interpersonal Processes and Attachment in Voice-Hearers." Behavioural and Cognitive Psychotherapy 43, no. 6 (2014): 655–68. http://dx.doi.org/10.1017/s1352465814000125.

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Background: Studies of both clinical and non-clinical voice hearers suggest that distress is rather inconsistently associated with the perceived relationship between voice and hearer. It is also not clear if their beliefs about voices are relevant. Aims: This study investigated the links between attachment anxiety/avoidance, interpersonal aspects of the voice relationship, and distress whilst considering the impact of beliefs about voices and paranoia. Method: Forty-four voice-hearing participants completed a number of self-report measures tapping attachment, interpersonal processes in the voi

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Schlier, Björn, Xenia Sitara, Clara Strauss, Aikaterini Rammou, Tania M. Lincoln, and Mark Hayward. "Can Gender Differences in Distress Due to Difficult Voices Be Explained by Differences in Relating?" Cognitive Therapy and Research 45, no. 4 (2021): 831–39. http://dx.doi.org/10.1007/s10608-020-10190-5.

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Abstract Background Research on gender differences has found that women relate to negative voice hearing experiences with more negative emotions and report more distress due to voices, which may be rooted in differences in relating to voices. This study used a robust methodology and a large sample to explore gender differences in relating to voices and voice distress. Methods Matched samples of male (n = 124) and female (n = 124) voice hearers were drawn from a survey for secondary analysis. Voice severity (e.g., frequency or loudness), voice distress, and different types of dysfunctional (i.e

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Grillo, Elizabeth U. "A Nonrandomized Trial for Student Teachers of an In-Person and Telepractice Global Voice Prevention and Therapy Model With Estill Voice Training Assessed by the VoiceEvalU8 App." American Journal of Speech-Language Pathology 30, no. 2 (2021): 566–83. http://dx.doi.org/10.1044/2020_ajslp-20-00200.

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Purpose This study investigated the effects of the in-person and telepractice Global Voice Prevention and Therapy Model (GVPTM) treatment conditions and a control condition with vocally healthy student teachers. Method In this single-blinded, nonrandomized trial, 82 participants completed all aspects of the study. Estill Voice Training was used as the stimulability component of the GVPTM to train multiple new voices meeting all the vocal needs of the student teachers. Outcomes were assessed using acoustic, perceptual, and aerodynamic measures captured by the VoiceEvalU8 app at pre and post in

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Peters, E. R., S. L. Williams, M. A. Cooke, and E. Kuipers. "It's not what you hear, it's the way you think about it: appraisals as determinants of affect and behaviour in voice hearers." Psychological Medicine 42, no. 7 (2011): 1507–14. http://dx.doi.org/10.1017/s0033291711002650.

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BackgroundPrevious studies have suggested that beliefs about voices mediate the relationship between actual voice experience and behavioural and affective response.MethodWe investigated beliefs about voice power (omnipotence), voice intent (malevolence/benevolence) and emotional and behavioural response (resistance/engagement) using the Beliefs About Voices Questionnaire – Revised (BAVQ-R) in 46 voice hearers. Distress was assessed using a wide range of measures: voice-related distress, depression, anxiety, self-esteem and suicidal ideation. Voice topography was assessed using measures of voic

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Simanjuntak, Herlina Lindaria. "The Translation of English Passive Voice into Indonesian." TEKNOSASTIK 17, no. 1 (2019): 40. http://dx.doi.org/10.33365/ts.v17i1.231.

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English and Indonesian have different grammatical patterns and cultural values. That is why, many problems that students studying translation subject have to face. One of them is how to translate English Passive Voice into Indonesian. That is the reason the writer aims to do the research. The research is to describe the translation of English passive voice into Indonesian by analyzing two novels, which are Kristan Higgins’ Waiting on You and its translation Nina Andiana’s Penantian Terpanjang. This research uses qualitative method. The writer collected, identified, the data concerning with the

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Bicer, Ada, Deniz Baskent, Carolyn McGettigan, and Thomas Koelewijn. "The effect of explicit and implicit voice training on speech-on-speech intelligibility and listening effort." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A330. http://dx.doi.org/10.1121/10.0019036.

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Listening to familiar voices might improve intelligibility of target speech in multiple-talker situations. In addition to personally familiar voices, voice training—through implicit exposure or explicit learning of a previously unheard voice—can improve speech intelligibility. However, there is no consensus on which method is more effective. We investigated the effect of explicit and implicit voice training on speech-on-speech perception and listening effort (pupillometry), among normal hearing listeners. There was no significant difference in speech intelligibility performance between trained

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Sun, YuXiang, Lili Ming, Jiamin Sun, FeiFei Guo, Qiufeng Li, and Xueping Hu. "Brain mechanism of unfamiliar and familiar voice processing: an activation likelihood estimation meta-analysis." PeerJ 11 (March 13, 2023): e14976. http://dx.doi.org/10.7717/peerj.14976.

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Interpersonal communication through vocal information is very important for human society. During verbal interactions, our vocal cord vibrations convey important information regarding voice identity, which allows us to decide how to respond to speakers (e.g., neither greeting a stranger too warmly or speaking too coldly to a friend). Numerous neural studies have shown that identifying familiar and unfamiliar voices may rely on different neural bases. However, the mechanism underlying voice identification of individuals of varying familiarity has not been determined due to vague definitions, co

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Karande, Pramod, Shubham Borchate, Bhavesh Chaudhary, and Prof Deveshree Wankhede. "Virtual Desktop Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 1916–20. http://dx.doi.org/10.22214/ijraset.2022.41024.

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Abstract: Voice Assistants are becoming immensely popular feature that has changed the way user interact with devices. Voice assistants are used in many devices like mobile phones, laptops. These voice assistants are based on Artificial-Intelligence and Natural Language Processing. They take human voices as input and give output in integrated voices. This voice assistant takes voice through microphone, we have used libraries like pyttsx3 to convert text-to-speech. Keywords: Voice Assistant, python, pyttsx3, Artificial Intelligence, Speech Recognition

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Newland, Jane. "Toward a Zeroth Voice: Theorizing Voice in Children’s Literature with Deleuze." Jeunesse: Young People, Texts, Cultures 1, no. 2 (2009): 10–34. http://dx.doi.org/10.3138/jeunesse.1.2.10.

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Drawing on the theories of Gilles Deleuze, this paper explores the rhizome of voices in children’s texts and postulates that voice may be considered as something created through a Deleuzian becoming. Looking in turn at the coming together of book and reader, this rhizome of voices, and the complexity of authorship of children’s literature, this paper shows how the simulacral nature of voices present in children’s literature can lead to what Deleuze terms a collective assemblage of enunciation with its own voice, a zeroth voice. It is my contention that this zeroth voice liberates the reader fr

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Nancy, Sarah. "« Voice, voice, voice »." Théâtre/Public N° 228, no. 2 (2018): 28–32. https://doi.org/10.3917/thepu.228.0028.

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G. Eriksen, Stefka. "Medieval Literary Voices: Embodiment, Materiality and Performance, ed. Louise D’Arcens and Sif Ríkharðsdóttir. Manchester: Manchester University Press, 2022, 298 pp." Mediaevistik 36, no. 1 (2023): 330–32. http://dx.doi.org/10.3726/med.2023.01.45.

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As indicated by the title of the book, this volume presents a variety of definitions of and approaches toward the concept of voice in medieval literature, with greatest but not exclusive focus on medieval English literature. The volume’s Introduction gives a useful overview of the numerous debates and sub-themes affiliated with the concept of voice in Medieval Studies. These include the link between voice and humanity, spirituality and textuality that has been promoted since antiquity and throughout the Middle Ages; the polyphony and multiplicity of voices available in literature; voice, gende

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Huron, David, and Deborah A. Fantini. "The Avoidance of Inner-Voice Entries: Perceptual Evidence and Musical Practice." Music Perception 7, no. 1 (1989): 43–47. http://dx.doi.org/10.2307/40285447.

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Experimental evidence has shown that entries of inner voices are more difficult to perceive than entries of outer voices in multivoiced music. A study of voice entries in 75 fugues by J. S. Bach shows no significant avoidance of inner-voice entries in three- and four-voice textures. However, in the case of five-voice textures, Bach does demonstrate a significant reluctance to have a voice enter in an inner-voice position. This finding is consistent with the hypothesis that Bach endeavors to minimize perceptual confusion in his polyphonic works as the textural density increases.

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Gour, Mr G. B., and Dr V. Udayashankara. "Voice Activity Detection and Pitch analysis in Pathological Voices." International Journal of Trend in Scientific Research and Development Volume-1, Issue-5 (2017): 423–28. http://dx.doi.org/10.31142/ijtsrd2324.

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Dzulfikar, Helmy, Sisdarmanto Adinandra, and Erika Ramadhani. "The Comparison of Audio Analysis Using Audio Forensic Technique and Mel Frequency Cepstral Coefficient Method (MFCC) as the Requirement of Digital Evidence." Jurnal Online Informatika 6, no. 2 (2021): 145. http://dx.doi.org/10.15575/join.v6i2.702.

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Audio forensics is the application of science and scientific methods in handling digital evidence in the form of audio. In this regard, the audio supports the disclosure of various criminal cases and reveals the necessary information needed in the trial process. So far, research related to audio forensics is more on human voices that are recorded directly, either by using a voice recorder or voice recordings on smartphones, which are available on Google Play services or iOS Store. This study compares the analysis of live voices (human voices) with artificial voices on Google Voice and other ar

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Zäske, Romi, Jürgen M. Kaufmann, and Stefan R. Schweinberger. "Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces." Brain Sciences 13, no. 4 (2023): 637. http://dx.doi.org/10.3390/brainsci13040637.

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Recognizing people from their voices may be facilitated by a voice’s distinctiveness, in a manner similar to that which has been reported for faces. However, little is known about the neural time-course of voice learning and the role of facial information in voice learning. Based on evidence for audiovisual integration in the recognition of familiar people, we studied the behavioral and electrophysiological correlates of voice learning associated with distinctive or non-distinctive faces. We repeated twelve unfamiliar voices uttering short sentences, together with either distinctive or non-dis

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Schweinberger, Stefan R., Anja Herholz, and Volker Stief. "Auditory Long term Memory: Repetition Priming of Voice Recognition." Quarterly Journal of Experimental Psychology Section A 50, no. 3 (1997): 498–517. http://dx.doi.org/10.1080/713755724.

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Two experiments examined repetition priming in the recognition of famous voices. In Experiment 1, reaction times for fame decisions to famous voice samples were shorter than in an unprimed condition, when voices were primed by a different voice sample of the same person having been presented in an earlier phase of the experiment. No effect of voice repetition was observed for non-famous voices. In Experiment 2, it was investigated whether this priming effect is voice-specific or whether it is related to post-perceptual processes in person recognition. Recognizing a famous voice was again prime

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Davenport, Brittany, Mike Jackson, James A. Grange, and Michelle Rydon-Grange. "Beliefs about voices in voice-hearers: the role of schema functioning." Behavioural and Cognitive Psychotherapy 48, no. 5 (2020): 584–97. http://dx.doi.org/10.1017/s1352465820000399.

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AbstractBackground:Evidence is emerging that beliefs about voices are influenced by broader schematic beliefs about the self and others. Similarly, studies indicate that the relationship an individual has with their voice may mirror wider patterns of relating observed in social relationships, which may be influenced by schematic beliefs.Aims:This study examined associations between beliefs about voices and self and other schemas. Furthermore, associations between schemas and the perceived relationship between the hearer and their predominant voice were explored.Method:Forty-four voice-hearing

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Liu, Boquan, Evan Polce, Hayley Raj, and Jack Jiang. "Quantification of Voice Type Components Present in Human Phonation Using a Modified Diffusive Chaos Technique." Annals of Otology, Rhinology & Laryngology 128, no. 10 (2019): 921–31. http://dx.doi.org/10.1177/0003489419848451.

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Purpose: Signal typing has been used to categorize healthy and disordered voices; however, human voices are likely comprised of differing proportions of periodic type 1 elements, type 2 elements that are periodic with modulations, aperiodic type 3 elements, and stochastic type 4 elements. A novel diffusive chaos method is presented to detect the distribution of voice types within a signal with the goal of providing an objective and clinically useful tool for evaluating the voice. It was predicted that continuous calculation of the diffusive chaos parameter throughout the voice sample would all

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Taivalkoski-Shilov, Kristiina. "Friday in Finnish." Target. International Journal of Translation Studies 27, no. 1 (2015): 58–74. http://dx.doi.org/10.1075/target.27.1.03tai.

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This article is based on a case study of intra- and extratextual voices in six different Finnish retranslations of Daniel Defoe’s Robinson Crusoe. Voice is understood here as the set of textual cues characterizing a subjective or collective identity in a text. The author focuses on what is special about voice in retranslation and how intratextual (a character’s voice) and extratextual voices (translators’ and publishers’ voices) might be related in retranslation. The analysis indicates that a character’s voice as a whole can reflect the retranslator’s voice and the purpose of his/her translati

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Cambouropoulos, Emilios. "Voice And Stream: Perceptual And Computational Modeling Of Voice Separation." Music Perception 26, no. 1 (2008): 75–94. http://dx.doi.org/10.1525/mp.2008.26.1.75.

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LISTENERS ARE THOUGHT TO BE CAPABLE of perceiving multiple voices in music. This paper presents different views of what 'voice' means and how the problem of voice separation can be systematically described, with a view to understanding the problem better and developing a systematic description of the cognitive task of segregating voices in music. Well-established perceptual principles of auditory streaming are examined and then tailored to the more specific problem of voice separation in timbrally undifferentiated music. Adopting a perceptual view of musical voice, a computational prototype is

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Zoghaib, Alice. "The contribution of a brand spokesperson’s voice to consumer-based brand equity." Journal of Product & Brand Management 26, no. 5 (2017): 492–502. http://dx.doi.org/10.1108/jpbm-06-2016-1230.

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Purpose This paper aims to explore the characteristics of a brand spokesperson’s voice that are the most valuable for consumer-based brand equity (CBBE) and evaluates various explanations in previous research regarding the influences of a speaker’s voice. Design/methodology/approach Brand identities can transfer their associations and affect as well as influence brand recall, thus contributing to CBBE. In addition, the pitch and gender of a speaker’s voice are considered as key characteristics of voice perception. This experimental study exposed 521 respondents to 12 different voices and measu

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De Vries, Raymond G. "Midwives, Obstetrics, Fear, and Trust: A Four-Part Invention." Journal of Perinatal Education 21, no. 1 (2012): 9–10. http://dx.doi.org/10.1891/1058-1243.21.1.9.

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When done well, maternity care brings together four “voices”: the voice of midwifery, which sees birth as a healthy physiological process; the voice of obstetrics, which can manage pathology; the voice of fear (or respect), which encourages vigilance; and the voice of trust, which allows a woman to have confidence in herself and her caregivers. Our goal is to keep these voices singing in harmony.

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Greenfield-Casas, Stefan. "The lament[s] of the (post)human: Existential voice and/in NieR: Automata (2017)1." Journal of Interdisciplinary Voice Studies 9, no. 1 (2024): 79–96. https://doi.org/10.1386/jivs_00088_1.

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Theories of voice have almost exclusively focused on the human voice, generally ignoring or only very briefly accounting for other, nonhuman voices. In this article, I am interested in the voice outside of the assumed (and strictly) human – simply put, posthuman voices. I use these posthuman voices to address a larger phenomenon: that of existentialism in popular culture. What I call the ‘existential voice’ – a voice rooted in song and creation as a way of positioning selfhood within the world – has permeated science fiction since its literary inception with Mary Shelley’s . In more recent yea

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Hargreaves, Andy. "Revisiting Voice." Educational Researcher 25, no. 1 (1996): 12–19. http://dx.doi.org/10.3102/0013189x025001012.

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Drawing on case vignettes of teachers at work, this article revisits how to conceptualize and represent teachers' voices and the teacher's voice in educational research, and in dialogue about educational change more generally. Though the article argues that representing and sponsoring teachers' voices should remain an important research priority, it also criticizes how much of the literature in this area selects and portrays particular teacher voices as exemplary or generic voices. The literature on teachers' voices has tended to represent them in a decontextualized way—in isolation from other

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Holmes, Emma, Grace To, and Ingrid S. Johnsrude. "How Long Does It Take for a Voice to Become Familiar? Speech Intelligibility and Voice Recognition Are Differentially Sensitive to Voice Training." Psychological Science 32, no. 6 (2021): 903–15. http://dx.doi.org/10.1177/0956797621991137.

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When people listen to speech in noisy places, they can understand more words spoken by someone familiar, such as a friend or partner, than someone unfamiliar. Yet we know little about how voice familiarity develops over time. We exposed participants ( N = 50) to three voices for different lengths of time (speaking 88, 166, or 478 sentences during familiarization and training). These previously heard voices were recognizable and more intelligible when presented with a competing talker than novel voices—even the voice previously heard for the shortest duration. However, recognition and intelligi

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Kumar, Akshay. "AI Voice Cloning using Deep Learning." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem51001.

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In this project, we have worked on creating a voice cloning system using deep learning. The main idea was to build a model that can listen to one person's voice and then convert it into another person’s voice, in such a way that it sounds real and natural. We used the LibriSpeech dataset for training our model because it contains a large number of voice recordings from many different speakers, which helped us teach the model how various people speak.To process the audio, first we convert the voice into features like mel spectrograms and pitch (F0), which will help to capture the sound and styl

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Zoghaib, Alice. "Persuasion of voices: The effects of a speaker’s voice characteristics and gender on consumers’ responses." Recherche et Applications en Marketing (English Edition) 34, no. 3 (2019): 83–110. http://dx.doi.org/10.1177/2051570719828687.

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Voices are present in most communications. Yet, the literature on voice persuasion is astonishingly limited and fragmented, focusing on certain voice characteristics (e.g. pitch), contexts, and providing mixed results. This research attempts to integrate the various constructs and mechanisms involved in voice persuasion as a result of the cross-fertilization of the disciplines having studied voice (psychoacoustics, cognitive psychology, anthropology, psycho-sociology, marketing, and politics). Study 1 manipulates via acoustic software the key voice characteristics (i.e. pitch, roughness, and b

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Klimenko, Sergei. "Criteria for establishing the inventory of semantic participants and voices in Tagalog." Studies in Language 43, no. 1 (2019): 1–43. http://dx.doi.org/10.1075/sl.17056.kli.

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Abstract The number of different voice constructions is controversial in Philippine linguistics. There are two approaches to establishing the voice inventory: (1) based on the number of voice affixes; (2) based on semantics of constructions, using opaque definitions of roles without any formal basis. Tagalog data supports neither approach. Many verbal roots form voice paradigms of up to seven members. The ungroundedness in any formal properties in the second approach often leads to different sets of voices with significant subjective variation. This paper suggests employing formal criteria for

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Adam-Darque, Alexandra, Marie P. Pittet, Frédéric Grouiller, et al. "Neural Correlates of Voice Perception in Newborns and the Influence of Preterm Birth." Cerebral Cortex 30, no. 11 (2020): 5717–30. http://dx.doi.org/10.1093/cercor/bhaa144.

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Abstract Maternal voice is a highly relevant stimulus for newborns. Adult voice processing occurs in specific brain regions. Voice-specific brain areas in newborns and the relevance of an early vocal exposure on these networks have not been defined. This study investigates voice perception in newborns and the impact of prematurity on the cerebral processes. Functional magnetic resonance imaging (fMRI) and high-density electroencephalography (EEG) were used to explore the brain responses to maternal and stranger female voices in full-term newborns and preterm infants at term-equivalent age (TEA

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Dlamini, Boy Bongani. "Currere on the rescue: exploring teachers voices that shape teachers’ actions and identities." International Journal of Research in Business and Social Science (2147- 4478) 12, no. 7 (2023): 492–503. http://dx.doi.org/10.20525/ijrbs.v12i7.2765.

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Exploring teachers’ voices in curriculum spaces is critical. As enactors of the curriculum, teachers need to reflect and critique their teaching actions in order to recognize voices that summon their actions. The study employed the currere curriculum model to engage Eight (8) geography teachers purposively selected from four (4) high schools in Eswatini. The aim was to explore the teachers’ voices that shape their actions and identities. The qualitative approach under the pragmatic paradigm and the educational design research guided the study. To generate data, semi-structured interviews, refl

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Restrepo, Juan F., and Gastón Schlotthauer. "Invariant Measures Based on the U-Correlation Integral: An Application to the Study of Human Voice." Complexity 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/2173640.

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Nonlinear measures such as the correlation dimension, the correlation entropy, and the noise level were used in this article to characterize normal and pathological voices. These invariants were estimated through an automated algorithm based on the recently proposed U-correlation integral. Our results show that the voice dynamics have a low dimension. The value of correlation dimension is greater for pathological voices than for normal ones. Furthermore, its value also increases along with the type of the voice. The low correlation entropy values obtained for normal and pathological type 1 and

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Plante-Hébert, Julien, Victor J. Boucher, and Boutheina Jemel. "The processing of intimately familiar and unfamiliar voices: Specific neural responses of speaker recognition and identification." PLOS ONE 16, no. 4 (2021): e0250214. http://dx.doi.org/10.1371/journal.pone.0250214.

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Research has repeatedly shown that familiar and unfamiliar voices elicit different neural responses. But it has also been suggested that different neural correlates associate with the feeling of having heard a voice and knowing who the voice represents. The terminology used to designate these varying responses remains vague, creating a degree of confusion in the literature. Additionally, terms serving to designate tasks of voice discrimination, voice recognition, and speaker identification are often inconsistent creating further ambiguities. The present study used event-related potentials (ERP

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Di Cesare, Michele Giuseppe, David Perpetuini, Daniela Cardone, and Arcangelo Merla. "Assessment of Voice Disorders Using Machine Learning and Vocal Analysis of Voice Samples Recorded through Smartphones." BioMedInformatics 4, no. 1 (2024): 549–65. http://dx.doi.org/10.3390/biomedinformatics4010031.

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Background: The integration of edge computing into smart healthcare systems requires the development of computationally efficient models and methodologies for monitoring and detecting patients’ healthcare statuses. In this context, mobile devices, such as smartphones, are increasingly employed for the purpose of aiding diagnosis, treatment, and monitoring. Notably, smartphones are widely pervasive and readily accessible to a significant portion of the population. These devices empower individuals to conveniently record and submit voice samples, thereby potentially facilitating the early detect

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Abrams, Daniel A., Tianwen Chen, Paola Odriozola, et al. "Neural circuits underlying mother’s voice perception predict social communication abilities in children." Proceedings of the National Academy of Sciences 113, no. 22 (2016): 6295–300. http://dx.doi.org/10.1073/pnas.1602948113.

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The human voice is a critical social cue, and listeners are extremely sensitive to the voices in their environment. One of the most salient voices in a child’s life is mother's voice: Infants discriminate their mother’s voice from the first days of life, and this stimulus is associated with guiding emotional and social function during development. Little is known regarding the functional circuits that are selectively engaged in children by biologically salient voices such as mother’s voice or whether this brain activity is related to children’s social communication abilities. We used functiona

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Steinhauer, Kimberly. "The Estill Voice Model: A paradigm for voice training and treatment." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A352—A353. http://dx.doi.org/10.1121/10.0023770.

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For over 40 years, the Estill Voice Model (EVM) has defined voice quality according to movement of anatomy and physiology. EVM addresses the daunting degrees of freedom issue in voice motor control by isolating Craft of voice production from Artistry and Performance Metaphysics. The EVM proposes an integrated implicit-explicit approach for voice motor learning that flows through all training and therapy protocols. Implicit instructions include auditory-perceptual prompts (e.g., quack like a duck to produce “twang”) and explicit prompts train physiologic conditions of the vocal anatomy correlat

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Moy, Patricia. "The Promise and Perils of Voice." Journal of Communication 70, no. 1 (2020): 1–12. http://dx.doi.org/10.1093/joc/jqz049.

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Abstract This article, based on the author's presidential address at the International Communication Association's 69th annual conference, speaks to the dual-edged nature of voice. It positions voice and the public as two closely related concepts, and reviews how varying definitions of the public throughout the years have played a critical role in determining which voices get heard. The article then discusses the normative foregrounding of voice in deliberative democracy and how, facilitated by technology, voices also bring with them noise and clamor. Finally, this article highlights concerns

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Ammerman Yebra, Julia. "“The power of the voice”." RED — Revista Electrónica de Direito 29, no. 3 (2022): 6–24. http://dx.doi.org/10.24840/2182-9845_2022-0003_0002.

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Voice is a feature that individualizes and identifies us. Also, a voice is a biometric data, which means that once a voice has been processed, its owner can be identified. This allows us to state that the voice can be used as a means to authenticate the signature of an electronic contract. Therefore, biometric voice recognition techniques will make it possible to identify the owner of the voice, who will thus be giving his contractual consent. The issue could become more complicated when not only the “voiceprint” is used as a signature, but also the counterpart is a virtual voice assistant. Th

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Längle, Sonja Theresa, Stephan Schlögl, Annina Ecker, Willemijn S. M. T. van Kooten, and Teresa Spieß. "Nonbinary Voices for Digital Assistants—An Investigation of User Perceptions and Gender Stereotypes." Robotics 13, no. 8 (2024): 111. http://dx.doi.org/10.3390/robotics13080111.

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Due to the wide adoption of digital voice assistants (DVAs), interactions with technology have also changed our perceptions, highlighting and reinforcing (mostly) negative gender stereotypes. Regarding the ongoing advancements in the field of human–machine interaction, a developed and improved understanding of and awareness of the reciprocity of gender and DVA technology use is thus crucial. Our work in this field expands prior research by including a nonbinary voice option as a means to eschew gender stereotypes. We used a between-subject quasi-experimental questionnaire study (female voice v

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Shigeno, Sumi. "Speaking with a Happy Voice Makes You Sound Younger." International Journal of Psychological Studies 8, no. 4 (2016): 71. http://dx.doi.org/10.5539/ijps.v8n4p71.

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<p>This study investigates the effects of emotional voices (expressing neutral emotion, sadness, and happiness) on a judgement of a speaker’s age. An experiment was conducted to explore whether happy voices sound younger than neutral and sad voices. The identification of 24 speakers’ ages (12 of each gender) based on their emotional voices was done by 40 participants. The speakers’ ages were 24-75 years. Participants identified the age of each speaker only by hearing his/her emotional voice. The results showed that when a speaker spoke with a happy voice, participants estimated their age

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BIRCHWOOD, M., A. MEADEN, P. TROWER, P. GILBERT, and J. PLAISTOW. "The power and omnipotence of voices: subordination and entrapment by voices and significant others." Psychological Medicine 30, no. 2 (2000): 337–44. http://dx.doi.org/10.1017/s0033291799001828.

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Background. Cognitive therapy for psychotic symptoms often embraces self-evaluative beliefs (e.g. self-worth) but whether and how such beliefs are related to delusions remains uncertain. In previous research we demonstrated that distress arising from voices was linked to beliefs about voices and not voice content alone. In this study we examine whether the relationship with the voice is a paradigm of social relationships in general, using a new framework of social cognition, ‘ranking’ theory.Method. In a sample of 59 voice hearers, measures of power and social rank difference between voice and

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Pierce, Jenny L., Kristine Tanner, Ray M. Merrill, Lauren Shnowske, and Nelson Roy. "Acoustic Variability in the Healthy Female Voice Within and Across Days: How Much and Why?" Journal of Speech, Language, and Hearing Research 64, no. 8 (2021): 3015–31. http://dx.doi.org/10.1044/2021_jslhr-21-00018.

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Purpose The aims of this study were (1) to quantify variability in voice production (as measured acoustically) within and across consecutive days in vocally healthy female speakers, (2) to identify which acoustic measures are sensitive to this variability, and (3) to identify participant characteristics related to such voice variability. Method Participants included 45 young women with normal voices who were stratified by age, specifically 18–23, 24–29, and 30–35 years. Following an initial acoustic and auditory-perceptual voice assessment, participants performed standardized field voice recor

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Jacobsen, Pamela, Emmanuelle Peters, Thomas Ward, Philippa A. Garety, Mike Jackson, and Paul Chadwick. "Overgeneral autobiographical memory bias in clinical and non-clinical voice hearers." Psychological Medicine 49, no. 1 (2018): 113–20. http://dx.doi.org/10.1017/s0033291718000570.

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AbstractBackgroundHearing voices can be a distressing and disabling experience for some, whilst it is a valued experience for others, so-called ‘healthy voice-hearers’. Cognitive models of psychosis highlight the role of memory, appraisal and cognitive biases in determining emotional and behavioural responses to voices. A memory bias potentially associated with distressing voices is the overgeneral memory bias (OGM), namely the tendency to recall a summary of events rather than specific occasions. It may limit access to autobiographical information that could be helpful in re-appraising distre

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Zhang, Yu, Rongjie Huang, Ruiqi Li, et al. "StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 17 (2024): 19597–605. http://dx.doi.org/10.1609/aaai.v38i17.29932.

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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 disc

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