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Automatic Language Recognition on Spontaneous Speech: The ATVS-UAM System

Automatic recognition of the language of spontaneous speech is a difficult problem that has been studied for years. This article provides a brief introduction to the general topic and an examination of a specific implementation that has already achieved a level of performance adequate for real applications. A detailed performance analysis provides a comparison of various techniques in terms of recognition accuracy and computational costs. Error rates of 5% and systems running eight-times real time have already been achieved. Issues of training on learning data and evaluation databases are addressed.

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JAES Volume 57 Issue 10 pp. 788-806; October 2009
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AES - Audio Engineering Society