Text-dependent speaker verification using data fusion and channel detection
Khaled T. Assaleh, Kevin R. Farrell, M.S. Zilovic, Manish Dev Sharma, Devang K. Naik, Richard J. Mammone · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
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.