NDLI: Identification of glottal instants using electroglottographic signal for vulnerable cases of voicing

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Identification of glottal instants using electroglottographic signal for vulnerable cases of voicing

Content Provider	IET Digital Library
Author	Mandal, Tanumay Rao, Krothapalli Sreenivasa Gupta, Sanjay K.
Abstract	Robust detection of glottal instants is essential for various speech and biomedical applications. Glottal closing and glottal opening are two crucial instants/epochs of a glottal cycle. The first-order derivative of the Electroglottographic (EGG) signal demonstrates important peaks at those locations for standard voicing, but the detection of glottal instants becomes erroneous when the peak to peak amplitude of the EGG signal is very low, irregular and unpredictable. In this work, a new efficient method is proposed for identification of glottal instants from the EGG signals including the segments of the signals where the signals are feeble with irregular periodicity. The overall accuracy of detection will be enhanced by identifying the glottal instants for the whole part of the signal including the vulnerable segments of signal. As the phase of a signal is uniform in nature, the phase information of the EGG signal has been explored to detect glottal instants accurately. Under low strength of the EGG signal, the proposed method remarkably has better performance compared to the existing instants detection methods and for pathological EGG signal, the detection accuracy of glottal instants is better than other existing methods.
Starting Page	132
Ending Page	138
Page Count	7
Volume Number	7
e-ISSN	20533713
Issue Number	Issue 5, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/htl/7/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0085
Journal	Healthcare Technology Letters
Publisher	The Institution of Engineering and Technology
Publisher Date	2020-11-10
Access Restriction	Open
Rights License	Creative Commons Attribution -Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/)
Subject Keyword	Biology And Medical Computing Biomedical Application Biomedical Engineering Biomedical Measurement And Imaging Electroglottographic Signal Feature Extraction Glottal Closing Glottal Instant Identification Glottal Opening Instant Detection Method Medical Signal Detection Medical Signal Processing Pathological EGG Signal Phase Information Signal Detection Speech Processing Technique Speech Recognition Speech Recognition And Synthesis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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