Referenced Items are not available for this document.
Several noise compensation schemes for speech recognition in impulsive and nonimpulsive noise are considered. The noise compensation schemes are spectral subtraction, HMM-based Wiener (1949) filters, noise-adaptive HMMs, and a front-end impulsive noise removal. The use of the cepstral-time matrix as an improved speech feature set is explored, and the noise compensation methods are extended for use with cepstral-time features. Experimental evaluations, on a spoken digit database, in the presence of ear noise, helicopter noise, and impulsive noise, demonstrate that the noise compensation methods achieve substantial improvement in recognition across a wide range of signal-to-noise ratios. The results also show that the cepstral-time matrix is more robust than a vector of identical size, which is composed of a combination of cepstral and differential cepstral features
Published in:
Speech and Audio Processing, IEEE Transactions on
(Volume:5
,
Issue:
1
)
Date of Publication: Jan 1997
- Page(s):
- 11 - 21
- ISSN :
- 1063-6676
- INSPEC Accession Number:
- 5489218
- Digital Object Identifier :
- 10.1109/89.554264
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jan 1997
- Sponsored by :
- IEEE Signal Processing Society
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