New uses for the N-best sentence hypotheses within the BYBLOS speech recognition system

Authors:
Richard Schwartz;Stewart Austin;Francis Kubala;John Makhoul;Long Nguyen;Paul Placeway;George Zavaliagkos
Affiliations:
BBN Systems and Technologies, Cambridge, MA;BBN Systems and Technologies, Cambridge, MA;BBN Systems and Technologies, Cambridge, MA;BBN Systems and Technologies, Cambridge, MA;BBN Systems and Technologies, Cambridge, MA;BBN Systems and Technologies, Cambridge, MA;Northeastern University, Boston, MA
Venue:
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Year:
1992

Citing 5
Cited 7

Integration of diverse recognition methodologies through reevaluation of N-best sentence hypotheses

HLT '91 Proceedings of the workshop on Speech and Natural Language
Continuous speech recognition using segmental neural nets

HLT '91 Proceedings of the workshop on Speech and Natural Language
The forward-backward search algorithm

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
A comparison of several approximate algorithms for finding multiple (N-best) sentence hypotheses

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
A tree-trellis based fast search for finding the N-best sentence hypotheses in continuous speech recognition

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference

Comparative experiments on large vocabulary speech recognition

HLT '93 Proceedings of the workshop on Human Language Technology
The LIMSI continuous speech dictation system

HLT '94 Proceedings of the workshop on Human Language Technology
The estimation of powerful language models from small and large corpora

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
The BBN/HARC spoken language understanding system

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Large-vocabulary dictation using SRI's DECIPHERTM speech recognition system: progressive search techniques

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Unified stochastic engine (USE) for speech recognition

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Acoustic modeling problem for automatic speech recognition system: conventional methods (Part I)

International Journal of Speech Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe four different ways in which we use the NBest paradigm within the BYBLOS system. The most obvious use is for the efficient integration of speech recognition with a linguistic natural language understanding module. However, we have extended this principle to several other acoustic knowledge sources. We also describe a simple and efficient means for investigating and incorporating arbitrary new knowledge sources. The NBest hypotheses are used to provide close alternatives for discriminative training. Finally, we have developed a simple technique that allows us to optimize several weights and parameters within a system in a way that directly minimizes word error rate. Examples of each of these uses within the BYBWS system are described.