DocumentCode :
178007
Title :
Towards complex matrix decomposition of spectrograms based on the relative phase offsets of harmonic sounds
Author :
Kirchhoff, Holger ; Badeau, Roland ; Dixon, Sam
Author_Institution :
Centre for Digital Music, Queen Mary Univ. of London, London, UK
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
1572
Lastpage :
1576
Abstract :
In this paper we study the relative phase offsets between partials in the sustained part of harmonic sounds and investigate their suitability for complex matrix decomposition of spectrograms. We formally introduce this property in a sinusoidal model and visualise the phase relations of a musical instrument. A model of complex matrix decomposition in the time-frequency domain is derived and equations for the estimation of the model parameters are provided in the mono-phonic case. We illustrate the model with the analysis of a mono-phonic saxophone signal. The results suggest that the phase offset is able to capture inherent time-invariant phase properties of harmonic sounds and outline its potential use for complex matrix decomposition.
Keywords :
acoustic signal processing; matrix decomposition; musical instruments; parameter estimation; time-frequency analysis; complex matrix decomposition; harmonic sounds; model parameter estimation; monophonic saxophone signal analysis; musical instrument; phase relations; relative phase offsets; sinusoidal model; spectrograms; time-frequency domain; time-invariant phase property; Bars; Harmonic analysis; Instruments; Mathematical model; Matrix decomposition; Spectrogram; Time-frequency analysis; complex matrix decomposition; harmonic signals; nonnegative matrix factorisation; relative phase offsets of partials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6853862
Filename :
6853862
Link To Document :
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