Middle-end solution to robust speech recognition
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United States of America Patent
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Apr 7, 2009
Grant Date -
Oct 13, 2005
app pub date -
Apr 13, 2004
filing date -
Apr 13, 2004
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Abstract
A method for performing time and frequency Signal-to-Noise Ratio (SNR) dependent weighting in speech recognition is described that includes for each period t estimating the SNR to get time and frequency SNR information .eta..sub.t,f; calculating the time and frequency weighting to get .gamma..sub.tf; performing the back and forth weighted time varying DCT transformation matrix computation MG.sub.tM.sup.-1 to get T.sub.t; providing the transformation matrix T.sub.t and the original MFCC feature o.sub.t that contains the information about the SNR to a recognizer including the Viterbi decoding; and performing weighted Viterbi recognition b.sub.j(o.sub.t).
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