@inproceedings{goffin2005the,
author = {Goffin, V. and Allauzen, C. and Bocchieri, E. and Hakkani-Tur, D. and Ljolje, A. and Parthasarathy, Sarangarajan and Rahim, M. and Riccardi, G. and Saraclar, M.},
title = {The AT&T WATSON Speech Recognizer.},
booktitle = {ICASSP 2005},
year = {2005},
month = {March},
abstract = {This paper describes the AT&T WATSON real-time speech recognizer, the product of several decades of research at AT&T. The recognizer handles a wide range of vocabulary sizes and is based on continuous-density hidden Markov models for acoustic modeling and finite state networks for language modeling. The recognition network is optimized for efficient search. We identify the algorithms used for high-accuracy, real-time and low-latency recognition. We present results for small and large vocabulary tasks taken from the AT&T VoiceTone service, showing word accuracy improvement of about 5% absolute and real-time processing speed-up by a factor between 2 and 3.},
url = {http://approjects.co.za/?big=en-us/research/publication/the-att-watson-speech-recognizer/},
pages = {1033-1036},
}