ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 마이크로폰 어레이를 이용한 사용자 정보 추출
Cited - time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
김혜진, 윤호섭
발행일
200806
출처
로봇학회논문지, v.3 no.2, pp.131-136
ISSN
1975-6291
출판사
한국로봇학회(KROS)
협약과제
07MI1100, URC를 위한 내장형 컴포넌트 기술개발 및 표준화, 황대환
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