University of Illinois Urbana-Champaign

Hilbert phase methods for glottal activity detection

Serwy, Roger David

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SERWY-DISSERTATION-2017.pdf

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https://hdl.handle.net/2142/97304

Description

Title
Hilbert phase methods for glottal activity detection
Author(s)
Serwy, Roger David
Issue Date
2017-04-07
Director of Research (if dissertation) or Advisor (if thesis)
Hasegawa-Johnson, Mark
Doctoral Committee Chair(s)
Hasegawa-Johnson, Mark
Committee Member(s)
  • Levinson, Stephen
  • Oelze, Michael
  • Viswanath, Pramod
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2017-08-10T19:14:44Z
Keyword(s)
  • Hilbert phase
  • Analytic phase
  • Electroglottograph (EGG)
  • Glottal closure instant (GCI)
Abstract
The 2 pi discontinuities found in the wrapped Hilbert phase of the bandpass-filtered analytic DEGG signal provide accurate candidate locations of glottal closure instances (GCIs). Pruning these GCI candidates with an automatically determined amplitude threshold, found by iteratively removing from the full signal the inlier samples within a fraction of its standard deviation until converged, yields a 99.6% accurate detection system with a false alarm rate of 0.17%. This simpler algorithm, named Glottal Activity Detector For Laryngeal Input (GADFLI), outperforms the state-of-the-art SIGMA algorithm for GCI detection, which has a 94.2% detection rate, but a 5.46% false alarm rate. Performance metrics were computed over the entire APLAWD database, using an extensive, hand-verified markings database of 10,944 waveforms. A related proposed algorithm, QuickGCI, also makes use of Hilbert phase discontinuities, and does not require a thresholding post-processing step for GCI selection. Its performance is nearly as good as GADFLI. Both proposed algorithms operate using the electroglottographic signal or acoustic speech signal.
Graduation Semester
2017-05
Type of Resource
text
Permalink
http://hdl.handle.net/2142/97304
Copyright and License Information
Copyright 2017 Roger D. Serwy

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