CONF Kurimo_ACL_2010/IDIAP Personalising speech-to-speech translation in the EMIME project Kurimo, Mikko Byrne, William Dines, John Garner, Philip N. Gibson, Matthew Guan, Yong Hirsimäki, Teemu Karhila, Reima King, Simon Liang, Hui Oura, Keiichiro Saheer, Lakshmi Shannon, Matt Shiota, Sayaka Tian, Jilei Tokuda, Keiichi Wester, Mirjam Wu, Yi-Jian Yamagishi, Junichi Association for Computational Linguistics - Proceedings of the ACL 2010 System Demonstrations Uppsala, Sweden 2010 July 2010 48-53 http://aclweb.org/anthology-new/P/P10/P10-4009.pdf URL In the EMIME project we have studied unsupervised cross-lingual speaker adaptation. We have employed an HMM statistical framework for both speech recognition and synthesis which provides transformation mechanisms to adapt the synthesized voice in TTS (text-to-speech) using the recognized voice in ASR (automatic speech recognition). An important application for this research is personalised speech-to-speech translation that will use the voice of the speaker in the input language to utter the translated sentences in the output language. In mobile environments this enhances the users’ interaction across language barriers by making the output speech sound more like the original speaker’s way of speaking, even if she or he could not speak the output language.