한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)
- 한국정보과학회 2003년도 가을 학술발표논문집 Vol.30 No.2 (1)
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- Pages.4-6
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- 2003
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- 1598-5164(pISSN)
소리 분류를 위한 NMF특징 추출
NMF-Feature Extraction for Sound Classification
- Yong-Choon Cho (Dept. of Computer Science. POSTECH) ;
- Seungin Choi (Dept. of Computer Science. POSTECH) ;
- Sung-Yang Bang (Dept. of Computer Science. POSTECH)
- 발행 : 2003.10.01
초록
A holistic representation, such as sparse ceding or independent component analysis (ICA), was successfully applied to explain early auditory processing and sound classification. In contrast, Part-based representation is an alternative way of understanding object recognition in brain. In this paper. we employ the non-negative matrix factorization (NMF)[1]which learns parts-based representation for sound classification. Feature extraction methods from spectrogram using NMF are explained. Experimental results show that NMF-based features improve the performance of sound classification over ICA-based features.
키워드