@inproceedings{77fe816e1ab84de6aa179a40bb38086d,
title = "The AT&T Watson speech recognizer",
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{\textregistered} service, showing word accuracy improvement of about 5% absolute and real-time processing speed-up by a factor between 2 and 3.",
author = "V. Goffin and C. Allauzen and E. Bocchieri and D. Hakkani-T{\"u}r and A. Ljolje and S. Parthasarathy and M. Rahim and G. Riccardi and M. Saraclar",
year = "2005",
doi = "10.1109/ICASSP.2005.1415293",
language = "English (US)",
isbn = "0780388747",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "I1033--I1036",
booktitle = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing",
address = "United States",
note = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 ; Conference date: 18-03-2005 Through 23-03-2005",
}