Signal bias removal for robust telephone speech recognition
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United States of America Patent
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Dec 31, 1996
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N/A
app pub date -
Mar 24, 1994
filing date -
Mar 24, 1994
priority date (Note) -
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Abstract
A signal bias removal (SBR) method based on the maximum likelihood estimation of the bias for minimizing undesirable effects in speech recognition systems is described. The technique is readily applicable in various architectures including discrete (vector-quantization based), semicontinuous and continuous-density Hidden Markov Model (HMM) systems. For example, the SBR method can be integrated into a discrete density HMM and applied to telephone speech recognition where the contamination due to extraneous signal components is unknown. To enable real-time implementation, a sequential method for the estimation of the bias (SSBR) is disclosed.
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