Use of the articulation index to design a wavelet packet-based method for improving speech intelligibility

Daniel M. Rasetshwane, J. Robert Boston, Ching Chung Li

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

1 Scopus citations

Abstract

Speech transients are important cues for identifying and discriminating speech sounds, and several studies have suggested that selective amplification of these transients can improve the intelligibility of speech in noise. This paper describes an improved version of a wavelet-based method for extracting transient speech that we described in [9] and the use of the articulation index to select optimal parameters for the method. The new method combines subband decomposition by wavelet packets and transition rate characterization based on the first derivative of short-time energy. The method also incorporates a threshold which, when varied, controls the amount of quasi-steady-state activity that is included in the transient speech signal. The speech modification scheme is optimized and intelligibility improvement is estimated using the articulation index.

Original languageEnglish (US)
Title of host publication2007 15th International Conference on Digital Signal Processing, DSP 2007
Pages643-646
Number of pages4
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 15th International Conference onDigital Signal Processing, DSP 2007 - Wales, United Kingdom
Duration: Jul 1 2007Jul 4 2007

Publication series

Name2007 15th International Conference on Digital Signal Processing, DSP 2007

Other

Other2007 15th International Conference onDigital Signal Processing, DSP 2007
Country/TerritoryUnited Kingdom
CityWales
Period7/1/077/4/07

Keywords

  • Articulation index
  • Speech enhancement
  • Transient speech

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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