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

Toledano DT, Lopez-Moreno I, Mateos I, Abejon A, Ramos D, Gonzalez-Rodriguez J. Automatic Language Recognition on Spontaneous Speech: The ATVS-UAM System. J Audio Eng Soc. 2009;57(10):788-806. Available from: https://aes.org/publications/elibrary-page/?id=14842

@article{Toledano2009_14842,
  author = {Toledano, Doroteo T. and Lopez-Moreno, Ignacio and Mateos, Ismael and Abejon, Alejandro and Ramos, Daniel and Gonzalez-Rodriguez, Joaquin},
  title = {{Automatic Language Recognition on Spontaneous Speech: The ATVS-UAM System}},
  journal = {Journal of the Audio Engineering Society},
  volume = {57},
  number = {10},
  pages = {788--806},
  year = {2009},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14842}
}

TY  - JOUR
TI  - Automatic Language Recognition on Spontaneous Speech: The ATVS-UAM System
AU  - Toledano, Doroteo T.
AU  - Lopez-Moreno, Ignacio
AU  - Mateos, Ismael
AU  - Abejon, Alejandro
AU  - Ramos, Daniel
AU  - Gonzalez-Rodriguez, Joaquin
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 57
IS  - 10
SP  - 788
EP  - 806
PY  - 2009
DA  - 2009/10/06
UR  - https://aes.org/publications/elibrary-page/?id=14842
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -