NDLI: GMM/SVM N-best speaker identification under mismatch channel conditions

Content Provider	IEEE Xplore Digital Library
Author	Zeljkovic, I. Haffner, P. Amento, B. Wilpon, J.
Copyright Year	2008
Description	Author affiliation: AT&T Labs.-Res., Florham Park, NJ (Zeljkovic, I.; Haffner, P.; Amento, B.; Wilpon, J.)
Abstract	Under severe channel mismatch conditions, such as training with far-field speech and testing with telephone data, performance of speaker identification (SID) degrades significantly, often below practical use. But for many SID tasks, it is sufficient to recognize an N-best list of speakers for further human analysis. We investigate N-best SID accuracy for matched (telephone/telephone) and mismatched (far-field/telephone) train/test channel conditions. Using an SVM-GMM supervector (GSV), pitch and formant frequency histograms (PFH) and cross-channel adaptation using cohorts, we reduced matched channel error rate by over 25% relative to the baseline (GMM-UBM), for top-1, and achieved mismatched N-best accuracy comparable to the baseline.
Starting Page	4129
Ending Page	4132
File Size	282583
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4518563
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Testing Strontium Speech analysis Internet telephony Microphones Humans Degradation Histograms Robustness cohort speaker adaptation Speaker identification GMM SVM formants
Content Type	Text
Resource Type	Article

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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
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