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Frontier Research on Low-Resource Speech Recognition Technology

With the development of continuous speech recognition technology, users have put forward higher requirements in terms of speech recognition accuracy. Low-resource speech recognition, as a typical speech recognition technology under restricted conditions, has become a research hotspot nowadays becaus...

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Detalles Bibliográficos
Autores principales: Slam, Wushour, Li, Yanan, Urouvas, Nurmamet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674334/
https://www.ncbi.nlm.nih.gov/pubmed/38005483
http://dx.doi.org/10.3390/s23229096
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author Slam, Wushour
Li, Yanan
Urouvas, Nurmamet
author_facet Slam, Wushour
Li, Yanan
Urouvas, Nurmamet
author_sort Slam, Wushour
collection PubMed
description With the development of continuous speech recognition technology, users have put forward higher requirements in terms of speech recognition accuracy. Low-resource speech recognition, as a typical speech recognition technology under restricted conditions, has become a research hotspot nowadays because of its low recognition rate and great application value. Under the premise of low-resource speech recognition technology, this paper reviews the research status of feature extraction and acoustic models, and conducts research on resource expansion. Especially in terms of the technical challenges faced by this technology, solutions are proposed, and future research directions are prospected.
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spelling pubmed-106743342023-11-10 Frontier Research on Low-Resource Speech Recognition Technology Slam, Wushour Li, Yanan Urouvas, Nurmamet Sensors (Basel) Review With the development of continuous speech recognition technology, users have put forward higher requirements in terms of speech recognition accuracy. Low-resource speech recognition, as a typical speech recognition technology under restricted conditions, has become a research hotspot nowadays because of its low recognition rate and great application value. Under the premise of low-resource speech recognition technology, this paper reviews the research status of feature extraction and acoustic models, and conducts research on resource expansion. Especially in terms of the technical challenges faced by this technology, solutions are proposed, and future research directions are prospected. MDPI 2023-11-10 /pmc/articles/PMC10674334/ /pubmed/38005483 http://dx.doi.org/10.3390/s23229096 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Slam, Wushour
Li, Yanan
Urouvas, Nurmamet
Frontier Research on Low-Resource Speech Recognition Technology
title Frontier Research on Low-Resource Speech Recognition Technology
title_full Frontier Research on Low-Resource Speech Recognition Technology
title_fullStr Frontier Research on Low-Resource Speech Recognition Technology
title_full_unstemmed Frontier Research on Low-Resource Speech Recognition Technology
title_short Frontier Research on Low-Resource Speech Recognition Technology
title_sort frontier research on low-resource speech recognition technology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674334/
https://www.ncbi.nlm.nih.gov/pubmed/38005483
http://dx.doi.org/10.3390/s23229096
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