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
A rapid match algorithm for continuous speech recognition
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
The design for the wall street journal-based CSR corpus
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
An investigation of PLP and IMELDA acoustic representations and of their potential for combination
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Benchmark tests for the DARPA Spoken Language Program
HLT '93 Proceedings of the workshop on Human Language Technology
1993 benchmark tests for the ARPA spoken language program
HLT '94 Proceedings of the workshop on Human Language Technology
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In this summary, we report on the progress that has been made at Dragon Systems in speaker independent large vocabulary speech recognition using speech from DARPA's Wall Street Journal (WSJ) corpus. First, we present an overview of our recognition and training algorithms. Then, we describe experiments involving two recent improvements to these algorithms, moving to higher dimensional streams and using an IMELDA transformation, and present some results showing the reduction in error rates.