A new acoustic target recognition method based on gaussian mixture model

2012 ◽  
Vol 131 (4) ◽  
pp. 3467-3467
Author(s):  
Ming Wen ◽  
Jie Feng ◽  
Bo Yang
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Target Recognition ◽  
Gaussian Mixture ◽  
Recognition Method ◽  
Acoustic Target

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.

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