Cargando…
Multi-Head Attention-Based Long Short-Term Memory for Depression Detection From Speech
Depression is a mental disorder that threatens the health and normal life of people. Hence, it is essential to provide an effective way to detect depression. However, research on depression detection mainly focuses on utilizing different parallel features from audio, video, and text for performance...
Autores principales: | Zhao, Yan, Liang, Zhenlin, Du, Jing, Zhang, Li, Liu, Chengyu, Zhao, Li |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426553/ https://www.ncbi.nlm.nih.gov/pubmed/34512301 http://dx.doi.org/10.3389/fnbot.2021.684037 |
Ejemplares similares
-
Effects of Age on Long Term Memory for Degraded Speech
por: Thiel, Christiane M., et al.
Publicado: (2016) -
Convolutional Long-Short Term Memory Network with Multi-Head Attention Mechanism for Traffic Flow Prediction
por: Wei, Yupeng, et al.
Publicado: (2022) -
Spatial Attention can Bias Search in Visual Short-Term Memory
por: Nobre, Anna C., et al.
Publicado: (2008) -
The Attentional Selection in Visual Search within Short-Term Memory Representations
por: Schoenfeld, Mircea Ariel, et al.
Publicado: (2010) -
Temporal Preparation, Impulsivity and Short-Term Memory in Depression
por: Hsu, Tzu-Yu, et al.
Publicado: (2019)