Title

Reducing the Effects of Linear Channel Distortion on Continuous Speech Recognition

Document Type

Article

Publication Date

9-1999

Department

Integrated Engineering

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.

Publication Title

IEEE Transactions on Speech and Audio Processing

DOI

10.1109/89.784112

Share

COinS