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|Title:||Onset detection in pitched non-percussive music using warping-compensated correlation|
|Authors:||Schleusing, O. |
|Citation:||Schleusing, O., Zhang, B., Wang, Y. (2008). Onset detection in pitched non-percussive music using warping-compensated correlation. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings : 117-120. ScholarBank@NUS Repository. https://doi.org/10.1109/ICASSP.2008.4517560|
|Abstract:||Automatically extracting temporal information from musical recordings is inarguably one of the most critical subtasks of many music information retrieval systems. In this paper we present a system for automatic note onset detection in pitched non-percussive (PNP) musical sounds, which is the most challenging audio signal group for this task. We propose a new approach based on stable pitch cues and signal energy. A computationally inexpensive method for feature extraction, which efficiently suppresses vibrato, is combined with information derived from the signal energy in the feature space. Onsets are localized by a median filter based peak picking method. The proposed method is tested against a database of annotated violin recordings, covering a wide range of tempo and playing styles like vibrato and staccato. Our system outperforms prior state of the art systems with results for True Positives of 91.2% and False Positives of 9.2%. ©2008 IEEE.|
|Source Title:||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|Appears in Collections:||Staff Publications|
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