Title :
Fast self-adapting broadband noise removal in the cepstral domain
Author :
Wu, C.S. ; Nguyen, V.V. ; Sabrin, H. ; Kushner, W. ; Damoulakis, J.
Author_Institution :
Martin Marietta Aero & Naval Syst., Glen Burnie, MD, USA
Abstract :
A fast self-adapting algorithm to remove broadband noise in the cepstral domain is presented. Noise removal is accomplished by cepstral subtraction in a manner which allows subtraction factors to be derived adaptively, based on the local signal-to-noise ratio (SNR) of each signal frame. Finite averaging noise estimates are used to minimize the adaptation time. The algorithm yields good speech quality with little spectral distortion. The algorithm has proven to be a useful and efficient tool for speech processing in the fast-changing F-15/F-16 aircraft cockpit environment
Keywords :
aircraft communication; interference suppression; military systems; noise; speech analysis and processing; speech intelligibility; F-15/F-16 aircraft cockpit; adaptation time; broadband noise removal; cepstral domain; cepstral subtraction; fast self-adapting algorithm; finite averaging noise estimates; military aircraft; signal frame; speech processing; speech quality; Acoustic distortion; Acoustic noise; Aircraft; Cepstral analysis; Noise reduction; Noise shaping; Signal to noise ratio; Speech enhancement; Speech processing; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150499
