NDLI: A distributed decision approach to speaker verification

Content Provider	IEEE Xplore Digital Library
Author	Lund, M.A. Chung-Tshuy Lee Chung-Chieh Lee Bossemeyer, R.W.
Copyright Year	1994
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA (Lund, M.A.; Chung-Tshuy Lee; Chung-Chieh Lee)
Abstract	A speaker-verification system based on an HMM connected word recognizer and a distributed detection decision algorithm is presented. We discuss a text-independent system in which the local decisions are based on individual spectral parameters, and a text-dependent system in which the local decisions are based on the spectral parameters for a single word. The text-independent system assumes the parameter vectors to be normally distributed, while the text-dependent system uses a nonparametric test based solely on the imposter distribution. In both cases, the distributed approach provides robustness against discrepancies between the statistical characteristics of the speech parameters in the training and the test phases. Both distributed-decision speaker verification systems have been evaluated on a database of speech collected during the trial of a real verification system and have been shown to be superior to systems based on conventional decision algorithms.<>
File Size	340159
File Format	PDF
ISBN	0780317750
ISSN	15206149
DOI	10.1109/ICASSP.1994.389335
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-04-19
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Loudspeakers Robustness System testing Training data Degradation Algorithm design and analysis Detectors Mathematical model
Content Type	Text
Resource Type	Article

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