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Study on the Method of Emotional Speech Recognition Modeling

Emotions play a very significant role in speech recognition. The model built on neutral speech degrades dra- matically in the recognition of emotional speech. How to deal with emotion issues properly is crucial to achieve good per- formance in recognition. Most widely used approaches include robust feature extraction, speaker normalization and model retraining. In this paper, we proposed a novel method, namely, we adopted adaptive method to transform a neutral-based model into emotion-specific one with a small amount of emotion speech data. It is shown experimentally that the new model achieves higher accuracy in overall performance.