Hilbert phase methods for glottal activity detection

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2017

Author dc:creator

• Serwy, Roger David

Contributors dc:contributor

• Hasegawa-Johnson, Mark
• Levinson, Stephen
• Oelze, Michael
• Viswanath, Pramod

• Hilbert phase
• Analytic phase
• Electroglottograph (EGG)
• Glottal closure instant (GCI)

Statement dc:rights

• Copyright 2017 Roger D. Serwy

Language dc:language

en

Handle dc:identifier

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

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/97304