NDLI: Analyzing pitch robustness of PMVDR and MFCC features for children's speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Ghai, S. Sinha, R.
Copyright Year	2010
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Indian Inst. of Technol. Guwahati, Guwahati, India (Ghai, S.; Sinha, R.)
Abstract	The degradation in children's speech recognition performance under mismatched condition i.e., on the adults' speech trained models is a well known problem. Apart from several other factors, this degradation is also contributed by the large difference in the pitch values of the adults' and the children's speech. MFCC is the most commonly used feature in automatic speech recognition but it has been reported to be affected by the pitch variations across speech signals. Recently, perceptual-MVDR (PMVDR) feature has been reported as a better alternative to MFCC under noisy conditions. It is also attributed to possess better spectral modeling ability for high pitch signals. Motivated by these, in this work, we analyze the robustness of PMVDR to pitch variations across speech signals in comparison to MFCC for the children's speech recognition under mismatched condition. Our study finds PMVDR to be more pitch robust than MFCC using the default parameters. However, on suitable adaptation of the parameters for the children's speech recognition under mismatched condition, both PMVDR and MFCC give significantly improved comparable performances for children's speech as well as exhibit similar robustness to pitch variations.
Starting Page	1
Ending Page	5
File Size	97066
Page Count	5
File Format	PDF
ISBN	9781424471379
e-ISBN	9781424471386
DOI	10.1109/SPCOM.2010.5560549
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-18
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pediatrics Smoothing methods pitch robustness Speech recognition Bandwidth Speech Robustness PMVDR Mel frequency cepstral coefficient MFCC Children's speech recognition
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
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