Two-level discriminative speech emotion recognition model with wave field dynamics: A personalized speech emotion recognition method

2021 ◽  
Author(s):  
Ning Jia ◽  
Chunjun Zheng
Keyword(s):  
Emotion Recognition ◽  
Wave Field ◽  
Speech Emotion Recognition ◽  
Recognition Method ◽  
Recognition Model

Speech emotion recognition model based on Bi-GRU and Focal Loss

2020 ◽  
Vol 140 ◽  
pp. 358-365
Author(s):  
Zijiang Zhu ◽  
Weihuang Dai ◽  
Yi Hu ◽  
Junshan Li
Keyword(s):  
Emotion Recognition ◽  
Speech Emotion Recognition ◽  
Recognition Model ◽  
Model Based

The Research of Speech Emotion Recognition Based on Gaussian Mixture Model

2014 ◽  
Vol 668-669 ◽  
pp. 1126-1129
Author(s):  
Wan Li Zhang ◽  
Guo Xin Li ◽  
Wei Gao
Keyword(s):  
Emotion Recognition ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
High Performance ◽  
Gaussian Mixture ◽  
Speech Emotion Recognition ◽  
Recognition Method ◽  
Parameters Extraction ◽  
Series Of Experiments ◽  
Emotion Models

A new recognition method based on Gaussian mixture model for speech emotion recognition is proposed in this paper. To improve the effectiveness of feature extraction and accuracy of emotion recognition, extraction of Mel frequency cepstrum coefficient combined with Gaussian mixture model is used to recognize speech emotion. According to feature parameters extraction method by analyzing the principle of vocalization theory, emotion models based on Gaussian mixture model are generated and the similarity of their templates is obtained. A series of experiments is performed with recorded speech based on Gaussian mixture model and indicates the system gains high performance and better robustness.

Speech emotion recognition method based on hidden factor analysis

2015 ◽  
Vol 51 (1) ◽  
pp. 112-114 ◽  
Author(s):  
Peng Song ◽  
Yun Jin ◽  
Cheng Zha ◽  
Li Zhao
Keyword(s):  
Factor Analysis ◽  
Emotion Recognition ◽  
Speech Emotion Recognition ◽  
Recognition Method
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