Influence of Peak Selection Methods on Onset Detection

Finding the starting time of musical notes in an audio signal, that is, to perform onset detection, is an important task as this information can be used as the basis for high-level musical processing tasks. Many different methods exist to perform onset detection. However their results depend on a Peak Selection step that makes the decision whether an onset is present at some point in time. In this paper we review a number of different Peak Selection methods and compare their influence in the performance of different onset detection methods and on 4 distinct onset classes. Our results show that the post-processing method used deeply influences both positively and negatively the results obtained.

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