Study of Speech Emotion Recognition Based on Prosodic Parameters and Facial Expression Features
2012 ◽
Vol 241-244
◽
pp. 1677-1681
Keyword(s):
The present status of speech emotion recognition was introduced in the paper. The emotional databases of Chinese speech and facial expressions were established with the noise stimulus and movies evoking subjects' emtion. For different emotional states, we analyzed the single-mode speech emotion recognitions based the prosodic features and the geometric features of facial expression. Then, we discussed the bimodal emotion recognition by the use of Gaussian Mixture Model. The experimental results show that, the bimodal emotion recognition rate combined with facial expression is about 6% higher than the single model recognition rate merely using prosodic features.
2016 ◽
Vol 7
(1)
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pp. 58-68
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Keyword(s):
2020 ◽
Vol 10
(5)
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pp. 4752
2013 ◽
Vol 380-384
◽
pp. 3530-3533
2014 ◽
Vol 2014
◽
pp. 1-7
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2014 ◽
Vol 571-572
◽
pp. 665-671
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2020 ◽
Vol 23
(1)
◽
pp. 45-55
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Keyword(s):