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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.06474 |
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| _version_ | 1866914057719644160 |
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| author | Wu, Wen Cui, Ziyun Lei, Chang Duan, Yinan Qu, Diyang Wu, Ji Zhou, Bowen Chen, Runsen Zhang, Chao |
| author_facet | Wu, Wen Cui, Ziyun Lei, Chang Duan, Yinan Qu, Diyang Wu, Ji Zhou, Bowen Chen, Runsen Zhang, Chao |
| contents | The 1st SpeechWellness Challenge (SW1) aims to advance methods for detecting current suicide risk in adolescents using speech analysis techniques. Suicide among adolescents is a critical public health issue globally. Early detection of suicidal tendencies can lead to timely intervention and potentially save lives. Traditional methods of assessment often rely on self-reporting or clinical interviews, which may not always be accessible. The SW1 challenge addresses this gap by exploring speech as a non-invasive and readily available indicator of mental health. We release the SW1 dataset which contains speech recordings from 600 adolescents aged 10-18 years. By focusing on speech generated from natural tasks, the challenge seeks to uncover patterns and markers that correlate with current suicide risk. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_06474 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents Wu, Wen Cui, Ziyun Lei, Chang Duan, Yinan Qu, Diyang Wu, Ji Zhou, Bowen Chen, Runsen Zhang, Chao Audio and Speech Processing Sound The 1st SpeechWellness Challenge (SW1) aims to advance methods for detecting current suicide risk in adolescents using speech analysis techniques. Suicide among adolescents is a critical public health issue globally. Early detection of suicidal tendencies can lead to timely intervention and potentially save lives. Traditional methods of assessment often rely on self-reporting or clinical interviews, which may not always be accessible. The SW1 challenge addresses this gap by exploring speech as a non-invasive and readily available indicator of mental health. We release the SW1 dataset which contains speech recordings from 600 adolescents aged 10-18 years. By focusing on speech generated from natural tasks, the challenge seeks to uncover patterns and markers that correlate with current suicide risk. |
| title | The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents |
| topic | Audio and Speech Processing Sound |
| url | https://arxiv.org/abs/2501.06474 |