대한음성학회:학술대회논문집 (Proceedings of the KSPS conference)
- 대한음성학회 2005년도 추계 학술대회 발표논문집
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- Pages.163-166
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- 2005
모의 지능로봇에서 음성신호에 의한 감정인식
Speech Emotion Recognition by Speech Signals on a Simulated Intelligent Robot
- Jang, Kwang-Dong (Department of Control and Instrumentation Engineering, Chungbuk National University) ;
- Kwon, Oh-Wook (Department of Control and Instrumentation Engineering, Chungbuk National University)
- 발행 : 2005.11.17
초록
We propose a speech emotion recognition method for natural human-robot interface. In the proposed method, emotion is classified into 6 classes: Angry, bored, happy, neutral, sad and surprised. Features for an input utterance are extracted from statistics of phonetic and prosodic information. Phonetic information includes log energy, shimmer, formant frequencies, and Teager energy; Prosodic information includes pitch, jitter, duration, and rate of speech. Finally a patten classifier based on Gaussian support vector machines decides the emotion class of the utterance. We record speech commands and dialogs uttered at 2m away from microphones in 5different directions. Experimental results show that the proposed method yields 59% classification accuracy while human classifiers give about 50%accuracy, which confirms that the proposed method achieves performance comparable to a human.