The Impact of Attention Mechanisms on Speech Emotion Recognition
Speech emotion recognition (SER) plays an important role in real-time applications of human-machine interaction. The Attention Mechanism is widely used to improve the performance of SER. However, the applicable rules of attention mechanism are not deeply discussed. This paper discussed the differenc...
Guardado en:
Autores principales: | Shouyan Chen, Mingyan Zhang, Xiaofen Yang, Zhijia Zhao, Tao Zou, Xinqi Sun |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9c6f6ffb5d894251a31c7913baf9b515 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Aviation Profiling Method Based on Deep Learning Technology for Emotion Recognition by Speech Signal
por: Koshekov К.Т., et al.
Publicado: (2021) -
Hierarchical Spatiotemporal Electroencephalogram Feature Learning and Emotion Recognition With Attention-Based Antagonism Neural Network
por: Pengwei Zhang, et al.
Publicado: (2021) -
Scalogram as a Representation of Emotional Speech
por: Pawel Powroznik, et al.
Publicado: (2021) -
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning
por: Cristina Luna-Jiménez, et al.
Publicado: (2021) -
Associations between vocal emotion recognition and socio-emotional adjustment in children
por: Leonor Neves, et al.
Publicado: (2021)