The dragon continuous speech recognition system: a real-time implementation
HLT '90 Proceedings of the workshop on Speech and Natural Language
Dragon systems resource management benchmark results—February 1991
HLT '91 Proceedings of the workshop on Speech and Natural Language
The dragon continuous speech recognition system: a real-time implementation
HLT '90 Proceedings of the workshop on Speech and Natural Language
Phoneme-in-context modeling for dragon's continuous speech recognizer
HLT '90 Proceedings of the workshop on Speech and Natural Language
Rapid match training for large vocabularies
HLT '91 Proceedings of the workshop on Speech and Natural Language
Large vocabulary recognition of Wall Street Journal sentences at Dragon Systems
HLT '91 Proceedings of the workshop on Speech and Natural Language
The Lincoln large-vocabulary HMM CSR
HLT '91 Proceedings of the workshop on Speech and Natural Language
HLT '91 Proceedings of the workshop on Speech and Natural Language
The LIMSI continuous speech dictation system
HLT '94 Proceedings of the workshop on Human Language Technology
The Lincoln large-vocabulary stack-decoder based HMM CSR
HLT '94 Proceedings of the workshop on Human Language Technology
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Large vocabulary continuous speech recognition of wall street journal data
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
The Lincoln large-vocabulary stack-decoder HMM CSR
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
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This paper describes an algorithm for performing rapid match on continuous speech that makes it possible to recognize sentences from an 842 word vocabulary on a desktop 33 megahertz 80486 computer in near real time. This algorithm relies on a combination of smoothing and linear segmentation together with the notion of word start groups. It appears that the total computation required grows more slowly than linearly with the vocabulary size, so that larger vocabularies appear feasible, with only moderately enhanced hardware. The rapid match algorithm described here is closely related to the one that is used in DragonDictate, Dragon's commercial 30,000 word discrete utterance recognizer.