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Linguistic and extralinguistic factors in automatic speech recognition of German atypical speech

  • Automatic speech recognition (ASR) has been already used in speech and language therapy, including diagnostic tasks and practice exercises for people with aphasia (PWA). The lack of relevant data makes it difficult to evaluate the algorithms’ suitability for German-speaking PWA. For the current project, four open-source ASR models were selected based on their performance on other types of atypical speech, and the details of their evaluation are presented in this paper. The four selected models are generally robust to speakers’ gender and age. The one-word recognition yields better results for words of moderate length. Speech rate should be neither too slow nor too quick for lower error rates both in words and phrases, and the latter should be also of moderate length.

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Metadaten
URN:urn:nbn:de:kobv:526-opus4-19915
URL:https://aclanthology.org/2024.konvens-main.36/
Author:Eugenia RykovaORCiD, Mathias WaltherORCiD
Parent Title (English):Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)
Document Type:Conference Proceeding
Language:English
Year of Publication:2024
First Page:358
Last Page:367
Publisher:Association for Computational Linguistics
Place of publication:Wien
Faculties an central facilities:Fachbereich Wirtschaft, Informatik, Recht
Editor:Pedro Henrique Luz de AraujoORCiD, Andreas BaumannORCiD, Dagmar GromannORCiD, Brigitte KrennORCiD, Benjamin RothORCiD, Michael WiegandORCiD
Publishing Institution:Technische Hochschule Wildau
Source:Eugenia Rykova and Mathias Walther. 2024. Linguistic and extralinguistic factors in automatic speech recognition of German atypical speech. In Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), pages 358–367, Vienna, Austria. Association for Computational Linguistics.
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 616 Krankheiten
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
Release Date:2025/02/12
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