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- 발행일
- 200806
- 출처
- 로봇학회논문지, v.3 no.2, pp.131-136
- ISSN
- 1975-6291
- 출판사
- 한국로봇학회(KROS)
- 초록
- This paper proposes a method to extract the personal information using a microphonearray. Useful personal information, particularly customers, is age and gender. On the basis of thisinformation, service applications for robots can satisfy users by offering services adaptive to thespecial needs of specific user groups that may include adults and children as well as females andmales. We applied Gaussian Mixture Model (GMM) as a classifier and Mel Frequency Cepstralcoefficients (MFCCs) as a voice feature. The major aim of this paper is to discover the voice sourceparameters of age and gender and to classify these two characteristics simultaneously. For theubiquitous environment, voices obtained by the selected channels in a microphone array are useful toreduce background noise.
- KSP 제안 키워드
- Background noise, Gaussian mixture Model(GMM), Mel-frequency, Personal information, User groups, microphone Array