TY - CONF T1 - Maximum Filter Vibrato Suppression for Onset Detection T2 - Proceedings of the 16th International Conference on Digital Audio Effects (DAFx-13) Y1 - 2013 A1 - Sebastian Böck A1 - Widmer, Gerhard KW - maximum filter KW - onset detection KW - vibrato suppression AB -

 

We present SuperFlux - a new onset detection algorithm with vibrato suppression. It is an enhanced version of the universal spectral flux onset detection algorithm, and reduces the number of false positive detections considerably by tracking spectral trajectories with a maximum filter. Especially for music with heavy use of vibrato (e.g., sung operas or string performances), the number of false positive detections can be reduced by up to 60% without missing any additional events. Algorithm performance was evaluated and compared to state-of-the-art methods on the basis of three different datasets comprising mixed audio material (25,927 onsets), violin recordings (7,677 onsets) and operatic solo voice recordings (1,448 onsets). Due to its causal nature, the algorithm is applicable in both offline and online real-time scenarios.

JF - Proceedings of the 16th International Conference on Digital Audio Effects (DAFx-13) CY - Maynooth, Ireland ER -