Robust speech/non-speech detection using LDA applied to MFCC

  title={Robust speech/non-speech detection using LDA applied to MFCC},
  author={Arnaud Martin and Delphine Charlet and Laurent Mauuary},
Continuous speech recognition applications need precise detection because the number of words to recognize is unknown and vocabulary words can be short. The speech/non-speech detection must be robust to the boundary precision. In this work, a new approach to evaluate detection algorithm for continuous speech recognition is presented. The speech/non-speech detection using energy parameter combined with a Linear Discriminant Analysis (LDA) applied to Mel Frequency Cepstrum Coefficients (MFCC) is… CONTINUE READING
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