Wavelet Packet Transform Features with Application Tospeaker

  title={Wavelet Packet Transform Features with Application Tospeaker},
  author={IDENTIFICATIONRuhi and B Sarikaya and Bryan L. Pellom and L. JohnH. and HansenRobust},
  • IDENTIFICATIONRuhi, B Sarikaya, +2 authors HansenRobust
  • Published 1998
This study proposes a new set of feature parameters based on wavelet packet transform analysis of the speech signal. The new speech features are named subband based cepstral parameters (SBC) and wavelet packet parameters (WPP). The ability of each parameter set to capture speaker identity conveyed in the speech signal is compared to the widely used Mel-frequency cepstral coee-cents (MFCC). The proposed parametrization methods are shown to achieve 48% and 67% reduction in relative error over… CONTINUE READING
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