Relative pitch estimation of multiple instruments

We present an algorithm based on probabilistic latent component analysis and employ it for relative pitch estimation of multiple instruments in polyphonic music. A multilayered positive deconvolution is performed concurrently on mixture constant-Q transforms to obtain a relative pitch track and timb...

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Hauptverfasser:	Mysore, G.J., Smaragdis, P.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustics Algorithm design and analysis Deconvolution Frequency Instruments Music Pitch estimation Power harmonic filters Signal processing algorithms Sound mixtures Spectrogram Unsupervised learning
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creator	Mysore, G.J. Smaragdis, P.
description	We present an algorithm based on probabilistic latent component analysis and employ it for relative pitch estimation of multiple instruments in polyphonic music. A multilayered positive deconvolution is performed concurrently on mixture constant-Q transforms to obtain a relative pitch track and timbral signature for each instrument. Initial experimental results on mixtures of two instruments are quite promising and show high levels of accuracy.
doi_str_mv	10.1109/ICASSP.2009.4959583
format	Conference Proceeding
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Acoustics Algorithm design and analysis Deconvolution Frequency Instruments Music Pitch estimation Power harmonic filters Signal processing algorithms Sound mixtures Spectrogram Unsupervised learning
title	Relative pitch estimation of multiple instruments
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