An adaptive noise canceller with low signal distortion for speech codecs

Author

Ikeda, Shigeji ; Sugiyama, Akihiko

Author_Institution

Commun. Syst. Eng. Dept., NEC Corp., Tokyo, Japan

Volume

47

Issue

3

fYear

1999

fDate

3/1/1999 12:00:00 AM

Firstpage

665

Lastpage

674

Abstract

This paper proposes an adaptive noise canceller (ANC) with low signal distortion for speech codecs. The proposed ANC has two adaptive filters: a main filter (MF) and a subfilter (SF). The signal-to-noise ratio (SNR) of input signals is estimated using the SF. To reduce signal distortion in the output signal of the ANC, a step size for coefficient update in the MF is controlled according to the estimated SNR. Computer simulation results using speech and diesel engine noise recorded in a special-purpose vehicle show that the proposed ANC reduces signal distortion in the output signal by up to 15 dB compared with a conventional ANC. Results of subjective listening tests show that the mean opinion scores (MOSs) for the proposed ANC with and without a speech codec are one point higher than the scores for the conventional ANC

Keywords

acoustic signal processing; adaptive filters; adaptive signal processing; filtering theory; noise abatement; speech codecs; speech coding; SNR; adaptive filters; adaptive noise canceller; coefficient update; computer simulation results; diesel engine noise; input signals; low signal distortion; main filter; mean opinion scores; normalized LMS algorithm; output signal; signal distortion reduction; signal-to-noise ratio; special-purpose vehicle; speech codecs; step size; subfilter; subjective listening tests; Adaptive filters; Computer simulation; Diesel engines; Distortion; Noise cancellation; Noise reduction; Signal to noise ratio; Size control; Speech codecs; Speech enhancement;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.747774

Filename

747774