Pause transfer in the speech-to-speech translation domain

Abstract

In the speech-to-speech translation framework automatic speech recognition and spoken language translation components provide additional information about the location of pauses in the source language. This information may be useful to improve the performance of pause prediction algorithms for speech synthesis. In this paper we propose a transfer algorithm based on tuples. The results show a better performance of the proposed approach with respect to a baseline system that does not use source language information.