By Topic

Multi-channel mono-path periodic signal extraction with global amplitude and phase modulation for music and speech signal analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
M. Triki ; Eurecom Inst., Sophia Antipolis ; D. T. M. Slock

A key building block in music transcription and indexing operations is the decomposition of the music signal into notes. We model a note signal as a periodic signal with (slow) global variation of amplitude (reflecting attack, sustain, decay) and frequency (limited time warping). Also voiced speech admits such a representation. The bandlimited variation of global amplitude and frequency gets expressed through a subsampled representation and parameterization of the corresponding signals. The periodic signal is assumed to arrive at a set of sensors with different amplitude and delay. Assuming additive white Gaussian noise, a maximum likelihood approach is proposed for the estimation of the model parameters and the optimization is performed in an iterative (cyclic) fashion that leads to a sequence of simple least-squares problems. Particular attention is paid to the estimation of the basic periodic signal, which can have a non-integer period. Simulation results reveal that the proposed approach allows extracting such signals accurately from an underdetermined mixture of several, using iterated successive interference cancellation

Published in:

IEEE/SP 13th Workshop on Statistical Signal Processing, 2005

Date of Conference:

17-20 July 2005