Literatura científica selecionada sobre o tema "Disfluence verbale"
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Artigos de revistas sobre o assunto "Disfluence verbale"
Engelhardt, Paul E., Mhairi EG McMullon e Martin Corley. "Individual differences in the production of disfluency: A latent variable analysis of memory ability and verbal intelligence". Quarterly Journal of Experimental Psychology 72, n.º 5 (5 de junho de 2018): 1084–101. http://dx.doi.org/10.1177/1747021818778752.
Texto completo da fonteLiles, Betty Z., Jay Lerman, Lisa Christensen e Joy St. Ledger. "A Case Description of Verbal and Signed Disfluencies of a 10-Year-Old Boy Who Is Retarded". Language, Speech, and Hearing Services in Schools 23, n.º 2 (abril de 1992): 107–12. http://dx.doi.org/10.1044/0161-1461.2302.107.
Texto completo da fonteMeyers, Susan C., e Frances J. Freeman. "Interruptions as a Variable in Stuttering and Disfluency". Journal of Speech, Language, and Hearing Research 28, n.º 3 (setembro de 1985): 428–35. http://dx.doi.org/10.1044/jshr.2803.435.
Texto completo da fontePudlinski, Christopher, e Rachel S. Y. Chen. "Destigmatizing disfluency". Journal of Interactional Research in Communication Disorders 14, n.º 2 (26 de maio de 2023): 220–40. http://dx.doi.org/10.1558/jircd.24376.
Texto completo da fontePark, Yeong Hye, Kyungjae Lee e Seong Hee Choi. "Effects of Nanta Activities on the Adults Who Stutter with Intellectual Disabilities". Audiology and Speech Research 17, n.º 3 (31 de julho de 2021): 314–21. http://dx.doi.org/10.21848/asr.210009.
Texto completo da fonteArongna, Naomi Sakai, Keiichi Yasu e Koichi Mori. "Disfluencies and Strategies Used by People Who Stutter During a Working Memory Task". Journal of Speech, Language, and Hearing Research 63, n.º 3 (23 de março de 2020): 688–701. http://dx.doi.org/10.1044/2019_jslhr-19-00393.
Texto completo da fontePlexico, Laura W., Julie E. Cleary, Ashlynn McAlpine e Allison M. Plumb. "Disfluency Characteristics Observed in Young Children With Autism Spectrum Disorders: A Preliminary Report". Perspectives on Fluency and Fluency Disorders 20, n.º 2 (agosto de 2010): 42–50. http://dx.doi.org/10.1044/ffd20.2.42.
Texto completo da fonteBraun, Angelika, Nathalie Elsässer e Lea Willems. "Disfluencies Revisited—Are They Speaker-Specific?" Languages 8, n.º 3 (26 de junho de 2023): 155. http://dx.doi.org/10.3390/languages8030155.
Texto completo da fonteLeonteva, A. V., O. V. Agafonova e A. A. Petrov. "DOES TIME MATTER? A MULTIMODAL ANALYSIS OF SI FROM L2 TO L1". Voprosy Kognitivnoy Lingvistiki, n.º 3 (2023): 40–46. http://dx.doi.org/10.20916/1812-3228-2023-3-40-46.
Texto completo da fonteJutras, Benoît, Benoît Jutras, Josée Lagacé, Annik Lavigne, Andrée Boissonneault e Charlen Lavoie. "Auditory processing disorders, verbal disfluency, and learning difficulties: A case study". International Journal of Audiology 46, n.º 1 (janeiro de 2007): 31–38. http://dx.doi.org/10.1080/14992020601083321.
Texto completo da fonteTeses / dissertações sobre o assunto "Disfluence verbale"
Sheikh, Shakeel Ahmad. "Apprentissage profond pour la détection du bégaiement". Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0005.
Texto completo da fonteStuttering is a speech disorder that is most frequently observed among speech impairments and results in the form of core behaviours. The tedious and time-consuming task of detecting and analyzing speech patterns of PWS, with the goal of rectifying them is often handled manually by speech therapists, and is biased towards their subjective beliefs. Moreover, the ASR systems also fail to recognize the stuttered speech, which makes it impractical for PWS to access virtual digital assistants such as Siri, Alexa, etc.This thesis tries to develop audio based SD systems that successfully capture different variabilities from stuttering utterances such as speaking styles, age, accents, etc., and learns robust stuttering representations with an aim to provide a fair, consistent, and unbiased assessment of stuttered speech.While most of the existing SD systems use multiple binary classifiers for each stutter type, we present a unified multi-class StutterNet capable of detecting multiple stutter types. Approaching the class-imbalance problem in stuttering domain, we investigated the impact of applying weighted loss function, and, also presented Multi-contextual (MC) Multi-branch (MB) StutterNet to improve the detection performance of minority classes.Exploiting the speaker information with an assumption that the stuttering models should be invariant to meta-data such as speaker information, we present, an adversarial MTL SD method that learns robust stutter discrimintaive speaker-invariant representations.Due to paucity of unlabeled data, the automated SD task is limited in its use of large deep models in capturing different varaibilities, we introduced the first-ever SSL framework to SD domain. The SSL framework first trains a feature extractor for a pre-text task using a large quantity of unlabeled non-stuttering audio data to capture these different varaibilities, and then applies the learned feature extractor to a downstream SD task using limited labeled stuttering audio data
Biondi, Giulia Maria Rosa. "Analisi strumentale della produzione verbale nella disfluenze locutorie". Thesis, Universita' degli Studi di Catania, 2011. http://hdl.handle.net/10761/322.
Texto completo da fonteTian, Leimin. "Recognizing emotions in spoken dialogue with acoustic and lexical cues". Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31284.
Texto completo da fonteBreckinridge, Barbara LeDoux. ""The illegal alien" : how stereotypes in the media can undermine communication performance". Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-05-3524.
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Sousa, Clara Maria Oliveira de. "A pessoa humana e sua(s) circunstância(s) : bondade perante a diferença". Master's thesis, 2020. http://hdl.handle.net/10400.14/30782.
Texto completo da fonteInterpretation of kindness in ordinary language often comes from all actions that can have a beneficial effect throughout openness and responsibility towards the other, being qualified as “good”. From the Christian point of view kindness is a divine attribute and without it no Christian can really exercise his ministry effectively. It is the foundation of the very faith and hope that runs from the dawn of creation, an exacerbated act of God's kindness, first and foremost cause, going through the greatest moments in Israel's history to the highest degree, the redemption that cost His Son’s blood. For this purpose, a study is carried out that aims, on the one hand, to construct a proposal for the investigation of the conception of kindness based on the literature review, having as its motto a life path, in the first person, with a manifest speech disfluency, and on the other hand, to establish its practice for a balanced development of all dimensions of the human being. From the configured framework is presented a teaching proposal of the Teaching Unit (TL) “Have a Kind Heart” from the Catholic Religious and Moral Education Program (CRME) of the 1st grade, in a context of Supervised Teaching Practice (STP), in line with the educational and Christian values of this subject, within the framework of a holistic Christian education, to build a more beautiful, kinder and fairer society.
Livros sobre o assunto "Disfluence verbale"
Smagac, Melanie. The effect of age of target audience and verbal knowledge on disfluencies and speech characteristics. Subury, Ont: Laurentian University, 2005.
Encontre o texto completo da fonteTrabalhos de conferências sobre o assunto "Disfluence verbale"
Farzana, Shahla, Ashwin Deshpande e Natalie Parde. "How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia Detection". In Proceedings of the 21st Workshop on Biomedical Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.bionlp-1.4.
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