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Research Letters in Signal ProcessingVolume 2008 2008, Article ID 364674, 5 pages

Research LetterDepartment of Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada K1S 5B6

Received 14 November 2007; Accepted 18 February 2008

Academic Editor: Tyseer Aboulnasr

Copyright © 2008 Y. A. Mahgoub and R. M. Dansereau. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A time domain method to precisely estimate the sinusoidal model parameters of cochannel speech is presented. The method does not require the calculation of the Fourier transform nor the multiplication by a window function. It incorporates a least-squares estimator and an iterative technique to model and separate the cochannel speech into its individual speakers. The application of this method on speech data demonstrates the effectiveness of this method in separating cochannel speech signals in different target-to-interference ratios. This method is capable of producing accurate and robust parameter estimation in low signal-to-noise ratio situations compared to other existing algorithms.





Autor: Y. A. Mahgoub and R. M. Dansereau

Fuente: https://www.hindawi.com/



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