Gisting conversational speech in real time

Authors:
L. Denenberg;H. Gish;M. Meteer;T. Miller;J. R. Rohlicek;W. Sadkin;M. Siu
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;BBN Systems and Technologies, Cambridge, MA
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Year:
1993

Citing 1
Cited 0

Segregation of speakers for speech recognition and speaker identification

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

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Abstract

We describe additions and modifications to our prototype system [1] for analyzing air traUic control (ATC) communication: the primary goal of the effort was to achieve real-time performance. This involved both system architectural and algorithmic modifications. The task of the system is to extract the gist of activity as it is monitored. In the ATC domain, this involves identifying those flights that are present and classifying each flight as a departure, arrival, or other. The system combines a variety of techniques from speaker-identification, speech recognition, natural-language processing, and artificial intelligence.