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What is Techniques for Automatic Language Identification about?

This document describes three approaches to automatic language identification that were evaluated on standardized tests: phone recognition, Gaussian mixture modeling (GMM), and support vector machine (SVM) classification. It summarizes the performance of language identification systems using each approach individually as well as a system that fused the scores of the three approaches. On the 1996 NIST evaluation set, the fused system achieved an equal error rate (EER) of 2.7% and on the 2003 primary evaluati

Author

Huong Le

Language

EN