Improving the robustness of wavelet transform for epoch detection

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1 Citation (Scopus)

Abstract

This paper investigates (1) the robustness of epoch detection (i.e. identification of glottal closure) by the wavelet transform and (2) the methods to improve its robustness. We achieved a similar identification performance (2% error rate) to earlier investigation using the spline wavelet transform, under Gaussian noise degradation. However, the performance under other types of noise degradation, such as periodic noise (e.g. traffic lights) and short noise (e.g. keyboard noise), is not as robust as before. The scale matching technique could not secure good performance because the spline wavelet has poor recall performance. We explored the use of the Gaussian wavelet transform. Instead of scale matching, a single level is used and the recall of epochs associated with the nearest laryngograph differences by the Gaussian wavelet is about 30% more than by the spline wavelet, across different types of noise degradation. However, the spline wavelet has less false alarm (29% on average) in identification and the peaks correspond well to epoch positions (with less [standard] deviation). We evaluated detection schemes using both scalograms of Gaussian and spline wavelets and achieved improvement of recall (26%), with a relative position consistency of 1.4 ms.
Original languageEnglish
Title of host publicationSpeech Processing II
PublisherIEEE
Pages1303-1306
Number of pages4
Volume3
ISBN (Electronic)0780362934
DOIs
Publication statusPublished - 1 Jan 2000
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Hilton Hotel and Convention Center, Istanbul, Turkey
Duration: 5 Jun 20009 Jun 2000

Conference

Conference25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
CountryTurkey
CityIstanbul
Period5/06/009/06/00

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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