Title

Reducing the Effects of Linear Channel Distortion on Continuous Speech Recognition

Authors

Rebecca Bates, Minnesota State University, MankatoFollow
Mari Ostendorf, University of Washington - Seattle Campus

Document Type

Article

Publication Date

9-1999

Abstract

Linear channel compensation in speech recognition typically involves estimating an additive shift in the cepstral domain. This paper explores both Bayesian and maximum likelihood techniques to transform either the features or the model parameters. Experiments on the Macrophone corpus show error rate reductions of up to 16% over cepstral mean subtraction for short utterances.

Department

Integrated Engineering

Publication Title

IEEE Transactions on Speech and Audio Processing

Recommended Citation

Bates, R., & Ostendorf, M. (1999). Reducing the Effects of Linear Channel distortion on Continuous Speech Recognition. IEEE Transactions on Speech and Audio Processing, 7(5), 594-597. doi:10.1109/89.784112

DOI

10.1109/89.784112

Link to Publisher Version (DOI)

https://doi.org/10.1109/89.784112

Publisher's Copyright and Source

Copyright © 1999 IEEE. Article published by IEEE in IEEE Transactions on Speech and Audio Processing, volume 7, issue number 5, September 1999, pages 594-597. Available online at https://doi.org/10.1109/89.784112.