MALSORI (대한음성학회지:말소리)
- Issue 56
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- Pages.173-183
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- 2005
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- 1226-1173(pISSN)
Speech Emotion Recognition on a Simulated Intelligent Robot
모의 지능로봇에서의 음성 감정인식
- Published : 2005.12.01
Abstract
We propose a speech emotion recognition method for affective 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 pattern 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 5 different directions. Experimental results show that the proposed method yields