Automatic Speech Recognition for Biomedical Data in Bengali Language
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866929391833972736 |
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| author | Kabir, Shariar Nahar, Nazmun Saha, Shyamasree Rashid, Mamunur |
| author_facet | Kabir, Shariar Nahar, Nazmun Saha, Shyamasree Rashid, Mamunur |
| contents | This paper presents the development of a prototype Automatic Speech Recognition (ASR) system specifically designed for Bengali biomedical data. Recent advancements in Bengali ASR are encouraging, but a lack of domain-specific data limits the creation of practical healthcare ASR models. This project bridges this gap by developing an ASR system tailored for Bengali medical terms like symptoms, severity levels, and diseases, encompassing two major dialects: Bengali and Sylheti. We train and evaluate two popular ASR frameworks on a comprehensive 46-hour Bengali medical corpus. Our core objective is to create deployable health-domain ASR systems for digital health applications, ultimately increasing accessibility for non-technical users in the healthcare sector. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_12931 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Automatic Speech Recognition for Biomedical Data in Bengali Language Kabir, Shariar Nahar, Nazmun Saha, Shyamasree Rashid, Mamunur Audio and Speech Processing Computation and Language Sound This paper presents the development of a prototype Automatic Speech Recognition (ASR) system specifically designed for Bengali biomedical data. Recent advancements in Bengali ASR are encouraging, but a lack of domain-specific data limits the creation of practical healthcare ASR models. This project bridges this gap by developing an ASR system tailored for Bengali medical terms like symptoms, severity levels, and diseases, encompassing two major dialects: Bengali and Sylheti. We train and evaluate two popular ASR frameworks on a comprehensive 46-hour Bengali medical corpus. Our core objective is to create deployable health-domain ASR systems for digital health applications, ultimately increasing accessibility for non-technical users in the healthcare sector. |
| title | Automatic Speech Recognition for Biomedical Data in Bengali Language |
| topic | Audio and Speech Processing Computation and Language Sound |
| url | https://arxiv.org/abs/2406.12931 |