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Good features are critical for the research of speech emotion recognition. This paper based on the theory of deep learning, and phonetic features were extracted by using the method of deep auto-encoder (DAE). In this paper, a deep auto-encoder containing five hidden layers was designed. To get the input data, we divided the audio into short frames, each frame of speech emotion signal was then decomposed...
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