A Turkish-English Speech Translation System with Speaker Adaptation

In this paper, we introduce a Turkish-to-English speech translation system trained with a parallel corpus recently developed at TUBITAK-UEKAE and we investigate the performance improvement obtained by using speaker adaptation. We describe the two sub-modules of the system, namely, the speech recognition and machine translation modules, and we investigate the relationship between their individual performances and the overall system performance using various metrics. Furthermore, we present the improvements in recognition error rate and recognition time obtained by applying speaker adaptation.