Please use this identifier to cite or link to this item:
|Title:||Harmonicity and dynamics-based features for audio|
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 27, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.