Adaptation to New Microphones Using Tied-Mixture Normalization
BBN SYSTEMS AND TECHNOLOGIES CORP CAMBRIDGE MA
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In this paper, we present several approaches designed to increase the robustness of BYBLOS, the BBN continuous speech recognition system. We address the problem of increased degradation in performance when there is mismatch in the characteristics of the training and the test microphones. We introduce a new supervised adaptation algorithm that computes a transformation from the training microphone codebook to that of a new microphone, given some information about the new microphone. Results are reported for the development and evaluation test sets of the 1993 ARPA CSR Spoke 6 WSJ task, which consist of speech recorded with two alternate microphones, a stand-mount and a telephone microphone.
- Voice Communications