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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
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 |