Enhancement of speech intelligibility using transients extracted by wavelet packets

Daniel M. Rasetshwane, J. R. Boston, Ching Chung Li, John D. Durrant, Greg Genna

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Speech transients have been shown to be important cues for identifying and discriminating speech sounds. We previously described a wavelet packet-based method for extracting transient speech (Rasetshwane et al. WASPAA 2007, pp. 179-182). The algorithm uses a "transitivity function" to characterize the rate of change of wavelet coefficients, and it can be implemented in real-time to process continuous speech. Psycho-acoustic experiments to select parameters for and to evaluate this method are presented. Results show that modified speech created by amplifying transient speech and adding it to original speech has higher percent word recognition scores than original speech in the presence of background noise.

Original languageEnglish (US)
Title of host publication2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009
Pages173-176
Number of pages4
DOIs
StatePublished - 2009
Event2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009 - New Paltz, NY, United States
Duration: Oct 18 2009Oct 21 2009

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Other

Other2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009
CountryUnited States
CityNew Paltz, NY
Period10/18/0910/21/09

Keywords

  • Enhancement
  • Intelligibility
  • Transient
  • Transitivity function
  • Wavelet packets

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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