A high performance speech enhancement algorithm based on double-channel adaptive noise cancelling

Author

Zhenli, Wang ; Xiongwei, Zhang

Author_Institution

Inst. of Commun. Eng., PLAUST, Nanjing, China

Volume

2

fYear

2005

Firstpage

983

Abstract

By employing the noise correlations between the main channel and the reference channel, a new adaptive filtering algorithm based on double-channel adaptive noise canceling (ANC) is proposed for speech enhancement. The proof of the new algorithm is also presented, and it is shown that its optimal weight vector is the solution of generalized Wiener equation. Its application is then discussed under additive white noise environment with low signal-to-noise ratio (SNR) ranging from 0-10 dB. Experimental results are as follows: compared with NLMS algorithm, the proposed algorithm can improve the SNR and PESQ score by 14 dB and 1.13, respectively, when the input noise containing crosstalk is assumed in the reference channel. Without the assumption, the SNR and PESQ score improvement become 5 dB and 0.83, respectively.

Keywords

AWGN; adaptive filters; correlation theory; crosstalk; filtering theory; speech enhancement; stochastic processes; ANC; PESQ score; adaptive filtering algorithm; additive white noise environment; crosstalk; double-channel adaptive noise canceling; generalized Wiener equation; noise correlation; perceptual evaluation of speech quality; speech enhancement algorithm; Adaptive filters; Additive white noise; Crosstalk; Filtering algorithms; Noise cancellation; Reverberation; Signal to noise ratio; Speech enhancement; Tellurium; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on

Print_ISBN

0-7803-9128-4

Type

conf

DOI

10.1109/MAPE.2005.1618085

Filename

1618085