On Musical Onset Detection via the S-Transform

Nishal Silva; Chathuranga Weeraddana; Carlo Fischione

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arXiv · 1712.02567

On Musical Onset Detection via the S-Transform

Nishal Silva·Chathuranga Weeraddana·Carlo Fischione

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Abstract

Musical onset detection is a key component in any beat tracking system. Existing onset detection methods are based on temporal/spectral analysis, or methods that integrate temporal and spectral information together with statistical estimation and machine learning models. In this paper, we propose a method to localize onset components in music by using the S-transform, and thus, the method is purely based on temporal/spectral data. Unlike the other methods based on temporal/spectral data, which usually rely short time Fourier transform (STFT), our method enables effective isolation of crucial frequency subbands due to the frequency dependent resolution of S-transform. Moreover, numerical results show, even with less computationally intensive steps, the proposed method can closely resemble the performance of more resource intensive statistical estimation based approaches.

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BibTeX RIS

Nishal Silva, Chathuranga Weeraddana, Carlo Fischione. 2017-12-07. On Musical Onset Detection via the S-Transform. https://arxiv.org/abs/1712.02567

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