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Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 31-736
Full Name: Boubakir Chabane
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Université de Jijel, BP. 98, Ouled Aissa, 18000, Jijel, ALGERIA.
Country: ALGERIA
Tel: 00213772130360
Tel prefix: 0021334501189
Fax: 0021334501189
E-mail address: chboubakir@yahoo.fr
Other E-mails: chboubakir@caramail.com
Title of the Paper: on the use of kalman filter for enhancing speech corrupted by colored noise
Authors as they appear in the Paper: Boubakir Chabane, Berkani Daoued
Email addresses of all the authors: chboubakir@yahoo.fr,dberkani@hotmail.com
Number of paper pages: 10
Abstract: Kalman filtering is a powerful technique for the estimation of the speech signal observed in additive background noise. This paper presents a contribution in the enhancement of noisy speech with white and colored noise assumption. Some tests were performed with ideal filter parameters, others using the Expectation Maximization (EM) algorithm to iteratively estimate the spectral parameters of the speech and noise. Simulation results show that the application has the best performance evaluated with objective quality scores, observation of the waveforms, as well as informal listening tests in the case of Noizeus database.
Keywords: Speech enhancement, Kalman filtering, colored noise, EM algorithm.
EXTENSION of the file: .doc
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