NDLI: Optimization of the DET curve in speaker verification under noisy conditions

Content Provider	IEEE Xplore Digital Library
Author	Garcia Perera, L.P. Raj, B. Nolazco Flores, J.A.
Copyright Year	2013
Description	Author affiliation: Comput. Sci. Dept., Tecnol. de Monterrey, Monterrey, Mexico (Garcia Perera, L.P.; Nolazco Flores, J.A.) \|\| Language Technol. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA (Raj, B.)
Abstract	The increasing need for secure authentication systems has motivated recent interest in effective algorithms for Speaker Verification (SV). In particular, there is increasing need for noise robust algorithms for SV, which will allow SV systems to operate successfully in real conditions, which are typically noisy. Speaker verification addresses a pattern classification problem, in which there is a tradeoff between false acceptance and false rejections. Traditional approaches optimize the parameters of a classifier for a single operating point emobidied by the proportions of positive and negative examples in the training data, or by learning the parameters without considering the tradeoff. In a real situation where noise is present, the operating point is effectively unknown and may not match training conditions. We believe that for such situations the optimization of the parameters should not be limited to a single operating point, and that a more robust strategy is to optimize the parameters for all operating points by minimizing the area under the detection error tradeoff curve. In this paper we investigate the minimization of the area under the detection error curve in noisy conditions. Experiments performed on the database NIST2008 show our method improves the performance with respect to conventional methods.
Starting Page	7765
Ending Page	7769
File Size	639813
Page Count	5
File Format	PDF
ISBN	9781479903566
ISSN	15206149
DOI	10.1109/ICASSP.2013.6639175
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Speech Noise Noise measurement Vectors Loading Mathematical model detection error tradeoff Speaker verification robustness minimum verification error joint factor analysis
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
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