Auswahl der wissenschaftlichen Literatur zum Thema „Disfluence verbale“
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Zeitschriftenartikel zum Thema "Disfluence verbale"
Engelhardt, Paul E., Mhairi EG McMullon und 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 (05.06.2018): 1084–101. http://dx.doi.org/10.1177/1747021818778752.
Der volle Inhalt der QuelleLiles, Betty Z., Jay Lerman, Lisa Christensen und 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 (April 1992): 107–12. http://dx.doi.org/10.1044/0161-1461.2302.107.
Der volle Inhalt der QuelleMeyers, Susan C., und Frances J. Freeman. „Interruptions as a Variable in Stuttering and Disfluency“. Journal of Speech, Language, and Hearing Research 28, Nr. 3 (September 1985): 428–35. http://dx.doi.org/10.1044/jshr.2803.435.
Der volle Inhalt der QuellePudlinski, Christopher, und 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.
Der volle Inhalt der QuellePark, Yeong Hye, Kyungjae Lee und 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.
Der volle Inhalt der QuelleArongna, Naomi Sakai, Keiichi Yasu und 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.
Der volle Inhalt der QuellePlexico, Laura W., Julie E. Cleary, Ashlynn McAlpine und 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 (August 2010): 42–50. http://dx.doi.org/10.1044/ffd20.2.42.
Der volle Inhalt der QuelleBraun, Angelika, Nathalie Elsässer und Lea Willems. „Disfluencies Revisited—Are They Speaker-Specific?“ Languages 8, Nr. 3 (26.06.2023): 155. http://dx.doi.org/10.3390/languages8030155.
Der volle Inhalt der QuelleLeonteva, A. V., O. V. Agafonova und 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.
Der volle Inhalt der QuelleJutras, Benoît, Benoît Jutras, Josée Lagacé, Annik Lavigne, Andrée Boissonneault und Charlen Lavoie. „Auditory processing disorders, verbal disfluency, and learning difficulties: A case study“. International Journal of Audiology 46, Nr. 1 (Januar 2007): 31–38. http://dx.doi.org/10.1080/14992020601083321.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleStuttering 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.
Der volle Inhalt der QuelleTian, Leimin. „Recognizing emotions in spoken dialogue with acoustic and lexical cues“. Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31284.
Der volle Inhalt der QuelleBreckinridge, 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.
Der volle Inhalt der QuelleInterpretation 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.
Bücher zum Thema "Disfluence verbale"
Smagac, Melanie. The effect of age of target audience and verbal knowledge on disfluencies and speech characteristics. Subury, Ont: Laurentian University, 2005.
Den vollen Inhalt der Quelle findenKonferenzberichte zum Thema "Disfluence verbale"
Farzana, Shahla, Ashwin Deshpande und 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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