Fast self-adapting broadband noise removal in the cepstral domain
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 957-960 vol.2
- https://doi.org/10.1109/icassp.1991.150499
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
This publication has 2 references indexed in Scilit:
- Adaptive pitch detection algorithm for noisy signalsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- The effects of subtractive-type speech enhancement/noise reduction algorithms on parameter estimation for improved recognition and coding in high noise environmentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003