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 Import into BibTeX
Permalink: http://www.aes.org/e-lib/browse.cfm?elib=14842

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD JAES57)   /jaes57/10/pg788.pdf

Start a discussion about this paper!