Speech Enhancement for Non-Stationary Noise Environments

Author

Hou, Xuchu ; Guo, Shengnan ; Cui, Huij ; Tang, K. ; Li, Ye

Author_Institution

EE Dept., Tsinghua Univ., Beijing, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

3

Abstract

This paper proposes an algorithm improved over MMSE-LSA Algorithm. It suits non-stationary noise environments better than the traditional algorithm. The main part of this method is the estimation of noise, which is updated using time-frequency smoothing factors calculated based on speech-present probability in each frequency bin of the noisy speech spectrum. It could keep up with the noise change closely. Objective tests show that the proposed algorithm is superior to the traditional MMSE-LSA method in noise-tracking and mean opinion score.

Keywords

least mean squares methods; probability; speech enhancement; MMSE-LSA Algorithm; mean opinion score; noise tracking; noisy speech spectrum; nonstationary noise environments; speech enhancement; speech present probability; time frequency smoothing factors; Additive noise; Amplitude estimation; Frequency estimation; Humans; Noise level; Probability; Smoothing methods; Speech enhancement; Time frequency analysis; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5363084

Filename

5363084