Tone onset detection using an auditory model
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Date
2012-11-16
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Abstract
Onset detection is an important step for music transcription and
other tasks frequently encountered in music processing. Although several approaches
have been developed for this task, neither of them works well under
all circumstances. In Bauer et al. (2012) we investigated the influence of several
factors like instrumentation on the accuracy of onset detection. In this
work, this investigation is extended by a computational model of the human
auditory periphery. Instead of the original signal the output of the simulated
auditory nerve fibers is used. The main challenge here is combining the outputs
of all auditory nerve fibers to one feature for onset detection. Different
approaches are presented and compared. Our investigation shows that using
the auditory model output leads to essential improvements of the onset detection
rate for some instruments compared to previous results.