.png){kind=icon}
.png){kind=icon}
Return
A cross-linguistic depression detection method based on speech data
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jad.2025.119739.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• This study demonstrates the feasibility of cross-linguistic depression detection using speech data. • Significant speech feature differences exist within Chinese/English groups (healthy vs depressed) and cross-linguistically. • The proposed method aligns cross-lingual speech features, streamlining multilingual dataset construction. • The proposed method achieves accuracies of 88.7% (English, source domain) and 81.1% (Chinese, target domain).
Journal
IF:
4.9
Papers:
2.1W
Citations:
6.9W
Organization
No organization information available