The BBN/HARC spoken language understanding system

The design and performance of a complete spoken language understanding system under development at BBN are described. The system, dubbed HARC (Hear And Respond to Continuous speech), successfully integrates state-of-the-art speech recognition and natural language understanding subsystems. The system has been tested extensively on a restricted airline travel information (ATIS) domain with a vocabulary of about 2000 words. HARC is implemented in portable, high-level software that runs in real time on today's workstations to support interactive online human-machine dialogs. No special-purpose hardware is required other than an A/D (analog-to-digital) converter to digitize the speech. The system works well for any native speaker of American English and does not require any enrollment data from the users. Results of formal DARPA tests in Feb. and Nov. 1992 are presented.<<ETX>>

[1]  David Stallard Unification-Based Semantic Interpretation in the BBN Spoken Language System , 1989, HLT.

[2]  Steve Austin,et al.  The forward-backward search algorithm , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[3]  Pascale Fung,et al.  The estimation of powerful language models from small and large corpora , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[4]  Francis Kubala,et al.  New uses for the N-Best sentence hypotheses within the BYBLOS speech recognition system , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[5]  Pascale Fung,et al.  BBN BYBLOS and HARC February 1992 ATIS Benchmark Results , 1992, HLT.

[6]  John Makhoul,et al.  BYBLOS: The BBN continuous speech recognition system , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[7]  David Stallard,et al.  Fragment Processing in the DELPHI System , 1992, HLT.

[8]  R. Schwartz,et al.  A comparison of several approximate algorithms for finding multiple (N-best) sentence hypotheses , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[9]  Richard M. Schwartz,et al.  The N-Best Algorithm: Efficient Procedure for Finding Top N Sentence Hypotheses , 1989, HLT.

[10]  Robert J. Bobrow Statistical Agenda Parsing , 1991, HLT.

[11]  David Stallard,et al.  Syntactic/Semantic Coupling in the BBN DELPHI System , 1992, HLT.

[12]  Lynette Hirschman,et al.  Multi-Site Data Collection for a Spoken Language Corpus , 1992, HLT.