Automatic Speech Emotion Recognition using Support Vector Machine

  title={Automatic Speech Emotion Recognition using Support Vector Machine},
  author={Peipei Shen and Changjun Zhou and Xiong Chen},
  journal={Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology},
Automatic Speech Emotion Recognition (SER) is a current research topic in the field of Human Computer Interaction (HCI) with wide range of applications. The purpose of speech emotion recognition system is to automatically classify speaker's utterances into five emotional states such as disgust, boredom, sadness, neutral, and happiness. The speech samples are from Berlin emotional database and the features extracted from these utterances are energy, pitch, linear prediction cepstrum coefficients… CONTINUE READING
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