KEYWORDS: Throat, Speaker recognition, Signal processing, Databases, Signal detection, Diagnostics, Data modeling, System identification, Biometrics, Systems modeling
The paper presents the results of experiments that allow to determine the validity of use of the Automatic Speaker Recognition (ASR) in devices that register voice signal via throat microphones. Throat microphones are used in extremely difficult registration conditions, e.g. in tank headsets, therefore high efficiency of identification of speakers obtained for such a device allows to significantly extend the range of applications of ASR. The presented research results are complemented with results of speakers identification tests carried out using a traditional electret microphone on the same population of voices, which allows for unequivocal comparison of the impact of an acoustic channel on operation of ASR. The paper also includes a brief description of operation of the automatic speaker recognition system based on a cepstral analysis of a voice signal and Gaussian Mixture Models (GMM).
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