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.

Authors: Toledano, Doroteo T.; Lopez-Moreno, Ignacio; Mateos, Ismael; Abejon, Alejandro; Ramos, Daniel; Gonzalez-Rodriguez, Joaquin
Affiliation: ATVS Biometric Recognition Group, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Campus de Cantoblanco, Madrid, Spain
JAES Volume 57 Issue 10 pp. 788-806; October 2009
Publication Date: October 29, 2009

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