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

被引：0

作者：

Neffe, Michael ^{[1
]}

Van Pham, Tuan ^{[1
]}

Pernkopf, Franz ^{[1
]}

Kubin, Gernot ^{[1
]}

机构：

[1] Graz Univ Technol, Signal Proc & Speech Commun Lab, A-8010 Graz, Austria

来源：

PROCEEDINGS OF THE FOURTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PATTERN RECOGNITION, AND APPLICATIONS | 2007年

关键词：

speaker verification; Gaussian mixture model - universal background model; voice activity detection; quantile filtering; wavelet transform;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a robust speaker verification system using improved voice activity detection has been designed for increasing safety of 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 front-end processing unit is optimized to deal with small bandwidth restrictions and very short speaker turns. Two adaptive voice activity detection methods based on energy and wavelet parameters are developed and used as pre-processing in front-end unit. The verification task is accomplished by training background models and speaker dependent models. To enhance the robustness of the verification system, a cross verification unit is further applied. The designed system is tested with SPEECHDAT-AT and WSJO database to demonstrate its superior performance.

引用

页码：298 / +

页数：2

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