Speaker Segmentation for Air Traffic Control

Authors:
Michael Neffe;Tuan Pham;Horst Hering;Gernot Kubin
Affiliations:
Signal Processing and Speech Communication Laboratory, Graz University of Technology, Austria;Signal Processing and Speech Communication Laboratory, Graz University of Technology, Austria;Eurocontrol Experimental Centre, France;Signal Processing and Speech Communication Laboratory, Graz University of Technology, Austria
Venue:
Speaker Classification II
Year:
2007

Citing 4
Cited 1

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A tutorial on text-independent speaker verification

EURASIP Journal on Applied Signal Processing
Real-time speaker identification and verification

IEEE Transactions on Audio, Speech, and Language Processing
On the use of different speech representations for speaker modeling

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

Robust speaker verification in air traffic control using improved voice activity detection

SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications

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Abstract

In this contribution a novel system of speaker segmentation has been designed for improving safety on voice communication in air traffic control. In addition to the usage of the aircraft identification tag to assign speaker turns on the shared communication channel to aircrafts, speaker verification is investigated as an add-on attribute to improve security level effectively for the air traffic control. The verification task is done by training universal background models and speaker dependent models based on Gaussian mixture model approach. The feature extraction and normalization units are especially optimized to deal with small bandwidth restrictions and very short speaker turns. To enhance the robustness of the verification system, a cross verification unit is further applied. The designed system is tested with SPEECHDAT-AT and WSJ0 database to demonstrate its superior performance.