Local Group Delay Aided Vibrato And Tremolo Suppression For Onset Detection
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
14th International Society for Music Information Retrieval Conference (ISMIR 2013)
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
In this paper we present a new vibrato and tremolo suppression
technique for onset detection. It weights the differences
of the magnitude spectrogram used for the calculation
of the spectral flux onset detection function on
the basis of the local group delay information. With this
weighting technique applied, the onset detection function
is able to reliably distinguish between genuine onsets and
spectral energy peaks originating from vibrato or tremolo
present in the signal and lowers the number of false positive
detections considerably. Especially in cases of music
with numerous vibratos and tremolos (e.g. opera singing
or string performances) the number of false positive detections
can be reduced by up to 50% without missing any
additional events. Performance is evaluated and compared
to current state-of-the-art algorithms using three different
datasets comprising mixed audio material (25,927 onsets),
violin recordings (7,677 onsets) and solo voice recordings
of operas (1,448 onsets).
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