전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

  • 제66권8호
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  • Pages.1265-1271
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  • 2017
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  • 1975-8359(pISSN)
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  • 2287-4364(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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특징 선택과 융합 방법을 이용한 음성 감정 인식

Speech Emotion Recognition using Feature Selection and Fusion Method

  • Kim, Weon-Goo (Dept. of Electrical Engineering, Kunsan National University)
  • 투고 : 2017.03.23
  • 심사 : 2017.07.11
  • 발행 : 2017.08.01
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초록

In this paper, the speech parameter fusion method is studied to improve the performance of the conventional emotion recognition system. For this purpose, the combination of the parameters that show the best performance by combining the cepstrum parameters and the various pitch parameters used in the conventional emotion recognition system are selected. Various pitch parameters were generated using numerical and statistical methods using pitch of speech. Performance evaluation was performed on the emotion recognition system using Gaussian mixture model(GMM) to select the pitch parameters that showed the best performance in combination with cepstrum parameters. As a parameter selection method, sequential feature selection method was used. In the experiment to distinguish the four emotions of normal, joy, sadness and angry, fifteen of the total 56 pitch parameters were selected and showed the best recognition performance when fused with cepstrum and delta cepstrum coefficients. This is a 48.9% reduction in the error of emotion recognition system using only pitch parameters.

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참고문헌

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