A Study of Emotion Recognition Employing Adaptive Gaussian Mixture Model with the Maximum A Posteriori Principle
碩士 === 國立暨南國際大學 === 電機工程學系 === 102 === In this thesis, we present a system structure which can improve the accuracy of speech emotion recognition. Using maximum a posteriori (MAP) principle via speakerspecific or speaker-independent utterances to adapt the original Gaussian mixture model (GMM) and u...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/06063505652228468023 |