The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents

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.

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Publication Details

Published
2025-08-17
DOI
https://doi.org/10.21437/interspeech.2025-124
Citations
1
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
2.44
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article

The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents

Runsen Chen, Wen‐Chi Wu, Chang Lei, Bowen Zhou et al.
1 citations
Mental Health via Writing
2.44
article

The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents

Runsen Chen, Wen‐Chi Wu, Chang Lei, Bowen Zhou, Yinan Duan, Diyang Qu, Ziyun Cui, Ji Wu, Yong Zhang
article en
1 citations

Abstract

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.

Openalex Percentile: Top 9%
Mental Health via Writing
2.44
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The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents — Runsen Chen, Wen‐Chi Wu, et al. · (2025) | TGRS Research Map | TGRS