NDLI: Automated estimation of relative fundamental frequency

Content Provider	IEEE Xplore Digital Library
Author	Lien, Y.-A.S. Stepp, C.E.
Copyright Year	2013
Description	Author affiliation: Depts. of Speech, Language & Hearing Sci. & Biomed. Eng., Boston Univ., Boston, MA, USA (Stepp, C.E.) \|\| Biomed. Eng. Dept., Boston Univ., Boston, MA, USA (Lien, Y.-A.S.)
Abstract	Relative fundamental frequency (RFF), defined as the normalized fundamental frequencies of vowels surrounding voiceless consonants, has been shown to have a characteristic pattern in healthy voices that differs from those with disordered voices (e.g. vocal hyperfunction, Parkinson's disease). However no large-scale clinical study has been performed, mainly because the current estimation protocol requires trained technicians to manually perform this time-consuming task. In this study, we developed a method to automate RFF estimation and tested the algorithm on recordings from 12 healthy participants and 12 participants with Parkinson's disease. The means and variations of RFFs estimated using the automation algorithm were similar to the `gold standard' estimates developed by two trained technicians. The mean squared error for the automated estimates, when compared to the `gold standard' RFF estimates, were similar to those estimated manually by an additional trained technician. Future work will focus on improving vocal cycle detection and extending the automation to estimate RFF from instances in running speech.
Starting Page	2136
Ending Page	2139
File Size	594099
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6609956
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Standards Estimation Gold Manuals Timing Algorithm design and analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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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