Paper: | AE-P6.3 | ||
Session: | Audio for Multimedia and Networks | ||
Time: | Friday, May 21, 13:00 - 15:00 | ||
Presentation: | Poster | ||
Topic: | Audio and Electroacoustics: Audio for Multimedia | ||
Title: | HARMONICITY AND DYNAMICS-BASED FEATURES FOR AUDIO | ||
Authors: | S. H. Srinivasan; Satyam Computer Services Ltd. | ||
Mohan Kankanhalli; National University of Singapore | |||
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 onLPC 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. | ||
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