Using i-Vector Space Model for Emotion Recognition

  title={Using i-Vector Space Model for Emotion Recognition},
  author={Rui Xia and Yang Liu},
Using i-vector space features has been shown to be very successful in speaker and language identification. In this paper, we evaluate using the i-vector framework for emotion recognition from speech. Instead of using standard i-vector features, we propose to use concatenated emotion specific i-vector features. For each emotion category, a GMM supervector is generated via adaptation of the neural one from a large corpus. An i-vector feature vector is then obtained using each emotion specific GMM… CONTINUE READING
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