A Novel Heterogeneous Parallel Convolution Bi-LSTM for Speech Emotion Recognition
Speech emotion recognition is a substantial component of natural language processing (NLP). It has strict requirements for the effectiveness of feature extraction and that of the acoustic model. With that in mind, a Heterogeneous Parallel Convolution Bi-LSTM model is proposed to address the challeng...
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Formato: | article |
Lenguaje: | EN |
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MDPI AG
2021
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Acceso en línea: | https://doaj.org/article/d123ba2b76394f2eb10a3158886effba |
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