Fast Noise Compensation for Speech Separation in Diffuse Noise

Author

Hu, Rong ; Zhao, Yunxin

Author_Institution

Dept. of Comput. Sci., Missouri Univ., Columbia, MO

Volume

5

fYear

2006

fDate

14-19 May 2006

Abstract

In this paper, a fast noise compensation (FNC) algorithm is proposed for the adaptive decorrelation filtering (ADF) speech separation system in the presence of diffuse noise. The adaptation of ADF is a dynamic process, making noise effects at ADF outputs time-varying in nature. Such changing noise effects need to be tracked and adaptively removed. Under the assumption that acoustic paths are slow in change and utilizing the filtering structure of the separation model, noise compensation terms were adapted with an FFT-based fast algorithm. Experiments were based on both simulated and real recorded diffuse noises. Strong diffuse noise distracts part of the attention of ADF to do noise cancellation while separating speech, and FNC works by forcing ADF to stay focused on speech separation task. The proposed algorithm significantly improved the separation performance of ADF system in diffuse noise

Keywords

adaptive filters; decorrelation; fast Fourier transforms; filtering theory; signal denoising; speech processing; FFT-based fast algorithm; acoustic paths; adaptive decorrelation filtering; diffuse noise; fast noise compensation algorithm; filtering structure; noise cancellation; noise effects; separation model; speech separation system; Acoustic noise; Adaptive filters; Automatic speech recognition; Decorrelation; Filtering algorithms; Low-frequency noise; Noise cancellation; Source separation; Speech enhancement; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1661413

Filename

1661413