Speech enhancement using the bispectrum
- 1 January 1993
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 4, 488-491 vol.4
- https://doi.org/10.1109/icassp.1993.319701
Abstract
The authors present a study on the enhancement of speech that has been corrupted by additive wideband Gaussian noise. A least squares bispectrum reconstruction algorithm is used as a means for attenuating wideband Gaussian noise. A systematic approach is presented for processing speech records and estimating the bispectrum on a frame-by-frame basis. Performance evaluations are given using phonetically balanced sentences and signal-to-noise ratios.Keywords
This publication has 10 references indexed in Scilit:
- Statistical-model-based speech enhancement systemsProceedings of the IEEE, 1992
- Bispectral reconstruction of signals in noise: amplitude reconstruction issuesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Unwrapping algorithm for least-squares phase recovery from the modulo 2π bispectrum phaseJournal of the Optical Society of America A, 1990
- Signal reconstruction from multiple correlations: frequency- and time-domain approachesJournal of the Optical Society of America A, 1989
- Phase and amplitude recovery from bispectraApplied Optics, 1984
- Phase estimation using the bispectrumProceedings of the IEEE, 1984
- Speech enhancement using a soft-decision noise suppression filterIEEE Transactions on Acoustics, Speech, and Signal Processing, 1980
- Suppression of acoustic noise in speech using spectral subtractionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1979
- Enhancement and bandwidth compression of noisy speechProceedings of the IEEE, 1979
- Adaptive noise cancelling: Principles and applicationsProceedings of the IEEE, 1975