Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40853
Title: Harmonicity and dynamics-based features for audio
Authors: Srinivasan, S.H.
Kankanhalli, M. 
Issue Date: 2004
Source: Srinivasan, S.H.,Kankanhalli, M. (2004). Harmonicity and dynamics-based features for audio. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 4 : IV-321. ScholarBank@NUS Repository.
Abstract: Features are very important for audio processing. Tasks like speech recognition and instrument identification are based on features. Most low-level features currently used are based on LPC and cepstral analysis. In this paper we propose a class of features based on dynamics and harmonicity. In particular, we define the notion of harmonic derivative. The efficacy of the features is demonstrated for music genre classification and instrument family classification. In particular, the features are shown to be cepstrum-equivalent.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/40853
ISSN: 15206149
Appears in Collections:Staff Publications

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