A modified a priori SNR for speech enhancement using spectral subtraction rules

Author

Hasan, Md Kamrul ; Salahuddin, Sayeef ; Khan, M. Rezwan

Author_Institution

Dept. of Electr. & Electron. Eng., Bangladesh Univ. of Eng. & Technol., Dhaka, Bangladesh

Volume

11

Issue

4

fYear

2004

fDate

4/1/2004 12:00:00 AM

Firstpage

450

Lastpage

453

Abstract

The letter addresses the problem of single-channel speech enhancement using a spectral subtraction method. The proposed approach is directed toward finding a self-adaptive averaging factor to estimate the a priori SNR. Performance of the modified averaging factor is evaluated using conventional spectral-subtraction algorithms in which the averaging factor is otherwise kept as a constant. Improved results are obtained in terms of speech quality measures for various types of noise and at different SNR levels when the proposed time-frequency varying averaging factor is adapted in the conventional subtraction rules.

Keywords

acoustic noise; parameter estimation; random noise; spectral analysis; speech enhancement; a priori SNR estimation; noise; self-adaptive averaging factor; single-channel speech enhancement; spectral subtraction rules; spectral-subtraction algorithms; speech quality measures; time-frequency varying averaging factor; Additive noise; Amplitude estimation; Frequency estimation; Noise level; Noise reduction; Signal to noise ratio; Speech analysis; Speech enhancement; Speech processing; Time frequency analysis;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2004.824017

Filename

1275510