The AT&T WATSON Speech Recognizer.
- V. Goffin ,
- C. Allauzen ,
- E. Bocchieri ,
- D. Hakkani-Tur ,
- A. Ljolje ,
- Sarangarajan Parthasarathy ,
- M. Rahim ,
- G. Riccardi ,
- M. Saraclar
ICASSP 2005 |
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.