A Chinese Heart Failure Status Speech Database with Universal and Personalised Classification
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arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866908496695394304 |
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| author | Pan, Yue Liu, Liwei Li, Changxin Wang, Xinyao Xia, Yili Zhang, Hanyue Chu, Ming |
| author_facet | Pan, Yue Liu, Liwei Li, Changxin Wang, Xinyao Xia, Yili Zhang, Hanyue Chu, Ming |
| contents | Speech is a cost-effective and non-intrusive data source for identifying acute and chronic heart failure (HF). However, there is a lack of research on whether Chinese syllables contain HF-related information, as observed in other well-studied languages. This study presents the first Chinese speech database of HF patients, featuring paired recordings taken before and after hospitalisation. The findings confirm the effectiveness of the Chinese language in HF detection using both standard 'patient-wise' and personalised 'pair-wise' classification approaches, with the latter serving as an ideal speaker-decoupled baseline for future research. Statistical tests and classification results highlight individual differences as key contributors to inaccuracy. Additionally, an adaptive frequency filter (AFF) is proposed for frequency importance analysis. The data and demonstrations are published at https://github.com/panyue1998/Voice_HF. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_14908 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Chinese Heart Failure Status Speech Database with Universal and Personalised Classification Pan, Yue Liu, Liwei Li, Changxin Wang, Xinyao Xia, Yili Zhang, Hanyue Chu, Ming Audio and Speech Processing Artificial Intelligence Computation and Language Sound Speech is a cost-effective and non-intrusive data source for identifying acute and chronic heart failure (HF). However, there is a lack of research on whether Chinese syllables contain HF-related information, as observed in other well-studied languages. This study presents the first Chinese speech database of HF patients, featuring paired recordings taken before and after hospitalisation. The findings confirm the effectiveness of the Chinese language in HF detection using both standard 'patient-wise' and personalised 'pair-wise' classification approaches, with the latter serving as an ideal speaker-decoupled baseline for future research. Statistical tests and classification results highlight individual differences as key contributors to inaccuracy. Additionally, an adaptive frequency filter (AFF) is proposed for frequency importance analysis. The data and demonstrations are published at https://github.com/panyue1998/Voice_HF. |
| title | A Chinese Heart Failure Status Speech Database with Universal and Personalised Classification |
| topic | Audio and Speech Processing Artificial Intelligence Computation and Language Sound |
| url | https://arxiv.org/abs/2508.14908 |