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Separation of Harmonic and Speech Signals using Sinusoidal Modeling

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2 Author(s)
Jancovic, Peter ; Electronic, Electrical & Computer Engineering, University of Birmingham, B15 2TT Birmingham, UK. p.jancovic@bham.ac.uk ; Kokuer, M.

This paper studies the problem of separation of two harmonic-based source signals from a single-channel mixture signal based on employment of a sinusoidal model. The sinusoidal model represents the signal as a sum of sine-waves, whose parameters (i.e., frequencies, amplitudes, and phases) are estimated by a least-square method that minimizes the reconstruction error between the model and the mixture signal. A comprehensive evaluation of the performance of the sinusoidal model for separation of simulated harmonic signals with various fundamental frequencies is presented. Very good performance, in terms of signal-to-distortion ratio, is observed without any a-priori knowledge about F0s of individual signals. The studied model is then demonstrated for separation of a mixture of two speech signals.

Published in:

Applications of Signal Processing to Audio and Acoustics, 2007 IEEE Workshop on

Date of Conference:

21-24 Oct. 2007

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