Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network

Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network

Speech emotion recognition is a vital and challenging task that the feature extraction plays a significant role in the SER performance. With the development of deep learning, we put our eyes on the structure of end-to-end and authenticate the algorithm that is extraordinary effective. In this paper,...

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Bibliographic Details
Main Authors: Hao Meng, Tianhao Yan, Fei Yuan, Hongwei Wei
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
3-D Log-Mel
dilated CNN
residual block
center loss
BiLSTM
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/8817913/

Internet

https://ieeexplore.ieee.org/document/8817913/

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