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@INPROCEEDINGS{Kurimo_ACL_2010,
         author = {Kurimo, Mikko and Byrne, William and Dines, John and Garner, Philip N. and Gibson, Matthew and Guan, Yong and Hirsim{\"{a}}ki, Teemu and Karhila, Reima and King, Simon and Liang, Hui and Oura, Keiichiro and Saheer, Lakshmi and Shannon, Matt and Shiota, Sayaka and Tian, Jilei and Tokuda, Keiichi and Wester, Mirjam and Wu, Yi-Jian and Yamagishi, Junichi},
       projects = {EMIME},
          month = {7},
          title = {Personalising speech-to-speech translation in the EMIME project},
      booktitle = {Proceedings of the ACL 2010 System Demonstrations},
           year = {2010},
       location = {Uppsala, Sweden},
   organization = {Association for Computational Linguistics},
            url = {http://aclweb.org/anthology-new/P/P10/P10-4009.pdf},
       abstract = {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{\^{a}}€™ interaction across language barriers by making the output speech sound more like the original speaker{\^{a}}€™s way of speaking, even if she or he could not speak the output language.}
}