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Speech & natural language publications April 1, 1997 Conference Paper

Model Transformation for Robust Speaker Recognition from Telephone Data

SRI International April 1, 1997

Abstract

In the context of automatic speaker recognition, we propose a model transformation technique that renders speaker models more robust to acoustic mismatches and to data scarcity by appropriately increasing their variances. We use a stereo database containing speech recorded simultaneously under different acoustic conditions to derive a SYNTHETIC VARIANCE DISTRIBUTION. This distribution is then used to modify the variances of other speaker models from other telephone databases. The technique is illustrated with experiments conducted on a locally collected database and on the NIST’95 and ’96 subsets of the Switchboard Corpus.

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