Signal conditioned minimum error rate training for continuous speech recognition
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United States of America Patent
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Sep 8, 1998
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N/A
app pub date -
Sep 15, 1995
filing date -
Sep 15, 1995
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Abstract
Hierarchical signal bias removal (HSBR) signal conditioning uses a codebook constructed from the set of recognition models and is updated as the recognition models are modified during recognition model training. As a result, HSBR signal conditioning and recognition model training are based on the same set of recognition model parameters, which provides significant reduction in recognition error rate for the speech recognition system.
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