Depression recognition using voice-based pre-training model
Abstract The early screening of depression is highly beneficial for patients to obtain better diagnosis and treatment. While the effectiveness of utilizing voice data for depression detection has been demonstrated, the issue of insufficient dataset size remains unresolved. Therefore, we propose an a...
Saved in:
Main Authors: | Xiangsheng Huang, Fang Wang, Yuan Gao, Yilong Liao, Wenjing Zhang, Li Zhang, Zhenrong Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-06-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-63556-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring Aggregated wav2vec 2.0 Features and Dual-Stream TDNN for Efficient Spoken Dialect Identification
by: Ananya Angra, et al.
Published: (2025-01-01) -
Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings
by: Elina Lesyk, et al.
Published: (2024-12-01) -
A hybrid stock prediction method based on periodic/non-periodic features analyses
by: Cheng Zhao, et al.
Published: (2025-01-01) -
Arithmetic of the sound of silence
by: Robert Madoi Nasaba
Published: (2022-10-01) -
Functioning performance trajectory and its associated factors for people with disability—A 4-year national study
by: Tzu-Ying Chiu, et al.
Published: (2025-01-01)