Gotowa bibliografia na temat „Disfluence verbale”
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Artykuły w czasopismach na temat "Disfluence verbale"
Engelhardt, Paul E., Mhairi EG McMullon i 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, nr 5 (5.06.2018): 1084–101. http://dx.doi.org/10.1177/1747021818778752.
Pełny tekst źródłaLiles, Betty Z., Jay Lerman, Lisa Christensen i 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, nr 2 (kwiecień 1992): 107–12. http://dx.doi.org/10.1044/0161-1461.2302.107.
Pełny tekst źródłaMeyers, Susan C., i Frances J. Freeman. "Interruptions as a Variable in Stuttering and Disfluency". Journal of Speech, Language, and Hearing Research 28, nr 3 (wrzesień 1985): 428–35. http://dx.doi.org/10.1044/jshr.2803.435.
Pełny tekst źródłaPudlinski, Christopher, i Rachel S. Y. Chen. "Destigmatizing disfluency". Journal of Interactional Research in Communication Disorders 14, nr 2 (26.05.2023): 220–40. http://dx.doi.org/10.1558/jircd.24376.
Pełny tekst źródłaPark, Yeong Hye, Kyungjae Lee i Seong Hee Choi. "Effects of Nanta Activities on the Adults Who Stutter with Intellectual Disabilities". Audiology and Speech Research 17, nr 3 (31.07.2021): 314–21. http://dx.doi.org/10.21848/asr.210009.
Pełny tekst źródłaArongna, Naomi Sakai, Keiichi Yasu i Koichi Mori. "Disfluencies and Strategies Used by People Who Stutter During a Working Memory Task". Journal of Speech, Language, and Hearing Research 63, nr 3 (23.03.2020): 688–701. http://dx.doi.org/10.1044/2019_jslhr-19-00393.
Pełny tekst źródłaPlexico, Laura W., Julie E. Cleary, Ashlynn McAlpine i Allison M. Plumb. "Disfluency Characteristics Observed in Young Children With Autism Spectrum Disorders: A Preliminary Report". Perspectives on Fluency and Fluency Disorders 20, nr 2 (sierpień 2010): 42–50. http://dx.doi.org/10.1044/ffd20.2.42.
Pełny tekst źródłaBraun, Angelika, Nathalie Elsässer i Lea Willems. "Disfluencies Revisited—Are They Speaker-Specific?" Languages 8, nr 3 (26.06.2023): 155. http://dx.doi.org/10.3390/languages8030155.
Pełny tekst źródłaLeonteva, A. V., O. V. Agafonova i A. A. Petrov. "DOES TIME MATTER? A MULTIMODAL ANALYSIS OF SI FROM L2 TO L1". Voprosy Kognitivnoy Lingvistiki, nr 3 (2023): 40–46. http://dx.doi.org/10.20916/1812-3228-2023-3-40-46.
Pełny tekst źródłaJutras, Benoît, Benoît Jutras, Josée Lagacé, Annik Lavigne, Andrée Boissonneault i Charlen Lavoie. "Auditory processing disorders, verbal disfluency, and learning difficulties: A case study". International Journal of Audiology 46, nr 1 (styczeń 2007): 31–38. http://dx.doi.org/10.1080/14992020601083321.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaStuttering 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.
Pełny tekst źródłaTian, Leimin. "Recognizing emotions in spoken dialogue with acoustic and lexical cues". Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31284.
Pełny tekst źródłaBreckinridge, 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.
Pełny tekst źródłatext
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.
Pełny tekst źródłaInterpretation 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.
Książki na temat "Disfluence verbale"
Smagac, Melanie. The effect of age of target audience and verbal knowledge on disfluencies and speech characteristics. Subury, Ont: Laurentian University, 2005.
Znajdź pełny tekst źródłaStreszczenia konferencji na temat "Disfluence verbale"
Farzana, Shahla, Ashwin Deshpande i Natalie Parde. "How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia Detection". W 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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