Speech recognition in SRI's resource management and ATIS systems
HLT '91 Proceedings of the workshop on Speech and Natural Language
DARPA resource management benchmark test results June 1990
HLT '90 Proceedings of the workshop on Speech and Natural Language
Multi-site data collection for a spoken language corpus
HLT '91 Proceedings of the workshop on Speech and Natural Language
HLT '91 Proceedings of the workshop on Speech and Natural Language
Performance of SRI's DECIPHER™ speech recognition system on DARPA's CSR task
HLT '91 Proceedings of the workshop on Speech and Natural Language
Subject-based evaluation measures for interactive spoken language systems
HLT '91 Proceedings of the workshop on Speech and Natural Language
HLT '91 Proceedings of the workshop on Speech and Natural Language
SRI international results February 1992 ATIS benchmark test
HLT '91 Proceedings of the workshop on Speech and Natural Language
Performance of SRI's DECIPHER™ speech recognition system on DARPA's CSR task
HLT '91 Proceedings of the workshop on Speech and Natural Language
Improved keyword-spotting using SRI's DECIPHER™ large-vocabuarly speech-recognition system
HLT '93 Proceedings of the workshop on Human Language Technology
Searching multimedia content with a spontaneous conversational speech track
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Keyword-spotting using SRI's DECIPHERTM large-vocabulary speech-recognition system
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Spoken Content Retrieval: A Survey of Techniques and Technologies
Foundations and Trends in Information Retrieval
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We describe three analyses on the effects of spontaneous speech on continuous speech recognition performance. We have found that: (1) spontaneous speech effects significantly degrade recognition performance, (2) fluent spontaneous speech yields word accuracies equivalent to read speech, and (3) using spontaneous speech training data can significantly improve performance for recognizing spontaneous speech. We conclude that word accuracy can be improved by explicitly modeling spontaneous effects in the recognizer, and by using as much spontaneous speech training data as possible. Inclusion of read speech training data, even within the task domain, does not significantly improve performance.