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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/22/9096 |
| _version_ | 1797457815723311104 |
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| author | Wushour Slam Yanan Li Nurmamet Urouvas |
| author_facet | Wushour Slam Yanan Li Nurmamet Urouvas |
| author_sort | Wushour Slam |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T16:28:23Z |
| format | Article |
| id | doaj.art-58c91ffa171241c59d928adc4ddc7b6b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T16:28:23Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-58c91ffa171241c59d928adc4ddc7b6b2023-11-24T15:05:19ZengMDPI AGSensors1424-82202023-11-012322909610.3390/s23229096Frontier Research on Low-Resource Speech Recognition TechnologyWushour Slam0Yanan Li1Nurmamet Urouvas2Xinjiang Laboratory of Multi-Language Information Technology, Xinjiang Multilingual Information Technology Research Center, College of Information Science and Engineering, Xinjiang University, Urumqi 830046, ChinaXinjiang Laboratory of Multi-Language Information Technology, Xinjiang Multilingual Information Technology Research Center, College of Information Science and Engineering, Xinjiang University, Urumqi 830046, ChinaXinjiang Laboratory of Multi-Language Information Technology, Xinjiang Multilingual Information Technology Research Center, College of Information Science and Engineering, Xinjiang University, Urumqi 830046, ChinaWith 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.https://www.mdpi.com/1424-8220/23/22/9096low-resource speech recognitiondeep feature extractionacoustic modelsresource expansion |
| spellingShingle | Wushour Slam Yanan Li Nurmamet Urouvas Frontier Research on Low-Resource Speech Recognition Technology Sensors low-resource speech recognition deep feature extraction acoustic models resource expansion |
| 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 | low-resource speech recognition deep feature extraction acoustic models resource expansion |
| url | https://www.mdpi.com/1424-8220/23/22/9096 |
| work_keys_str_mv | AT wushourslam frontierresearchonlowresourcespeechrecognitiontechnology AT yananli frontierresearchonlowresourcespeechrecognitiontechnology AT nurmameturouvas frontierresearchonlowresourcespeechrecognitiontechnology |