Fast search for common segments in speech signals for speaker verification
Michael Gerber, Beat Pfister · 2008
We pursue an approach to text-independent speaker verification which takes the decision whether two speech-signals are from the same speaker or not by matching segments that are common to both signals. A previous system using this pattern matching approach has shown good results but the used algorithm to seek for common segments was not satisfactory in terms of speed. In this paper we present an alternative algorithm which we developed to make this search faster. The approach which is based on hidden Markov models is unconstrained with respect to the size of the common segments which can be detected and it is basically language-independent. With the algorithm presented in this paper we could speed up the segment search by a factor of 5 while even improving the segments regarding their matching quality.