NDLI: Robust speaker recognition against background noise in an enhanced multi-condition domain

Content Provider	IEEE Xplore Digital Library
Author	Kichul Kim Moo Young Kim
Copyright Year	1975
Abstract	In the midst of background noise environments, the performance of speaker recognition (SR) systems is considerably degraded. To estimate the model mismatch between training and evaluation data, we also propose an intra Kullback-Leibler distance (intra-KLD) measure. Based on the intra-KLD, the performance of SR systems using speech enhancement (SE) and multi-condition (MC) training can be predicted with reduced computational complexity. Since SE cannot fully remove real-world noise without modifying the clean speech signal, the SR model trained only with a clean speech signal cannot fully represent the evaluation data that include various noisy signals preprocessed by SE. To compensate for this problem, we apply SE as a preprocessing block not only for the evaluation stage, but for the training stage. Moreover, we propose to combine SE and MC training (SE-MC) where various sets of features are extracted in an SE domain and a model for each speaker is trained based on the mixture of SE-domain features. Under various background noise environments, SE, MC, and SE-MC produced SR error rates of 43.51%, 25.00%, and 20.29%, respectively.
Sponsorship	IEEE Consumer Electronics Society
File Size	265991
File Format	PDF
ISSN	00983063
Volume Number	56
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Noise Strontium Speech Noise measurement Speech enhancement Error analysis Speaker recognition, speech enhancement, multi-condition training, noise estimation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

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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