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A transient detection algorithm for audio using iterative analysis of STFT

 
: Thoshkahna, Balaji; Nsabimana, Francois Xavier; Ramakrishnan, K.R.

Klapuri, A. ; International Society for Music Information Retrieval -ISMIR-:
ISMIR 2011, 12th International Society for Music Information Retrieval Conference. Proceedings : October 24-28, 2011, Miami, Florida
Miami/Fla.: University of Miami, 2011
ISBN: 9780615548654
ISBN: 0615548652
pp.203-208
International Society for Music Information Retrieval (ISMIR Conference) <12, 2011, Miami/Fla.>
English
Conference Paper, Electronic Publication
Fraunhofer IDMT ()

Abstract
We propose an iterative algorithm to detect transient segments in audio signals. Short time Fourier transform(STFT) is used to detect rapid local changes in the audio signal. The algorithm has two steps that iteratively - (a) calculate a function of the STFT and (b) build a transient signal. A dynamic thresholding scheme is used to locate the potential positions of transients in the signal. The iterative procedure ensures that genuine transients are built up while the localised spectral noise are suppressed by using an energy criterion. The extracted transient signal is later compared to a ground truth dataset. The algorithm performed well on two databases. On the EBU-SQAM database of monophonic sounds, the algorithm achieved an F-measure of 90% while on our database of polyphonic audio an F-measure of 91% was achieved. This technique is being used as a preprocessing step for a tempo analysis algorithm and a TSR (Transients + Sines + Residue) decomposition scheme.

: http://publica.fraunhofer.de/documents/N-201582.html