Hilbert phase methods for glottal activity detection

Serwy, Roger David

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

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

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

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

Copyright and License Information

Copyright 2017 Roger D. Serwy

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