Robust telephone speech recognition based on channel compensation

Channel compensation technique has been proved to be an effective approach for robust speech recognition. In this payer, we compare the performance of our proposed method RMFCC with those of the former channel compensation methods: CMS, two-level CMS and RASTA for robust telephone speech recognition. For all experiments, a Korean isolated 84-word-database consisting of SO speakers collected from local telephone line is adopted. Using RMFCC, a 39.8% reduction in word error rate is obtained relative to conventional HMM system. It is shown from the experiments that RMFCC, comparing with RASTA, reduces the computational complexity without losing accuracy, and is also better than CMS and two-level CMS on the performance. After discussion, we verify that it is an effective approach to suppress very low modulation frequencies by filtering for robust telephone speech recognition. (C) 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.