25 October 1994 Text-dependent speaker verification using data fusion and channel detection
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A new system is presented for text-dependent speaker verification. The system uses data fusion concepts to combine the results of distortion-based and discriminant-based classifiers. Hence, both intraspeaker and interspeaker information are utilized in the final decision. The distortion and discriminant-based classifiers used are dynamic time warping and the neural tree network, respectively. The system is evaluated with several hundred one word utterances collected over a telephone channel. All handsets considered in this experiment use electret microphones. The new system is found to perform exceptionally well for this task. A second experiment uses handsets having both electret and carbon button microphones. Here, a channel detection scheme is proposed that improves performance under these conditions.
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Khaled T. Assaleh, Kevin R. Farrell, M. S. Zilovic, Manish Sharma, Devang K. Naik, Richard J. Mammone, "Text-dependent speaker verification using data fusion and channel detection", Proc. SPIE 2277, Automatic Systems for the Identification and Inspection of Humans, (25 October 1994); doi: 10.1117/12.191869; https://doi.org/10.1117/12.191869

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