Field Evaluation of Text-Dependent Speaker Recognition in an Access Control Application
نویسندگان
چکیده
Vector quantization (VQ) is a widely used matching algorithm for text-independent speaker recognition. In this paper we study the use of text-dependent speaker recognition in practical access control application. We compared dynamic time warping (DTW) to VQ-based matching using textdependent pass phrases. Our goal was to find out, how fixed phrase affects speaker recognition performance. We collected corpus of 21 speakers at the location of access control system and experimented with two different text-dependent scenarios: with speaker dependent phrases and with speaker independent phrases. In both cases, DTW outperforms VQ matching, or works similar. Also text-independent test were carried out.
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