Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition

Speech emotion recognition (SER) is a difficult and challenging task because of the affective variances between different speakers. The performances of SER are extremely reliant on the extracted features from speech signals. To establish an effective features extracting and classification model is s...

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Detalles Bibliográficos
Autores principales: Zhang, Hua, Gou, Ruoyun, Shang, Jili, Shen, Fangyao, Wu, Yifan, Dai, Guojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962985/
https://www.ncbi.nlm.nih.gov/pubmed/33737889
http://dx.doi.org/10.3389/fphys.2021.643202

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962985/
https://www.ncbi.nlm.nih.gov/pubmed/33737889
http://dx.doi.org/10.3389/fphys.2021.643202

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