Reducing the Effects of Linear Channel Distortion on Continuous Speech Recognition
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)
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.
