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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10674334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT slamwushour frontierresearchonlowresourcespeechrecognitiontechnology AT liyanan frontierresearchonlowresourcespeechrecognitiontechnology AT urouvasnurmamet frontierresearchonlowresourcespeechrecognitiontechnology |