Title :
Gisting conversational speech
Author :
Rohlicek, J.R. ; Ayuso, D. ; Bates, M. ; Bobrow, R. ; Boulanger, A. ; Gish, H. ; Jeanrenaud, P. ; Meteer, M. ; Siu, M.
Author_Institution :
BBN Systems & Technologies, Cambridge, MA, USA
Abstract :
A novel system for extracting information from stereotyped voice traffic is described. Off-the-air recordings of commercial air traffic control communications are interpreted in order to identify the flights present and determine the scenario (e.g., takeoff, landing) that they are following. The system combines algorithms from signal segmentation, speaker segregation, speech recognition, natural language parsing, and topic classification into a single system. Initial evaluation of the algorithm on data recorded at Dallas-Fort Worth airport yields performance of 68% detection of flights with 98% precision at an operating point where 76% of the flight identifications are correctly recognized. In tower recording containing both takeoff and landing scenarios, flights are correctly classified as takeoff or landing 94% of the time
Keywords :
air-traffic control; aircraft communication; speech recognition; Dallas-Fort Worth airport; air traffic control communications; algorithms; flight identifications; landing; natural language parsing; signal segmentation; speaker segregation; speech recognition; stereotyped voice traffic; takeoff; topic classification; tower recording; Airports; Clustering algorithms; Data mining; Databases; Event detection; Fasteners; Monitoring; Poles and towers; Speech enhancement; Speech recognition;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226107
