Personalising a speech-to-speech translation in the EMIME project
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length max 200 words Paper length max 6 pages (for demos) Submission DL 22 Feb (midnight)
منابع مشابه
Personalising Speech-To-Speech Translation in the EMIME Project
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 spee...
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This paper provides an overview of speaker adaptation research carried out in the EMIME speech-to-speech translation (S2ST) project. We focus on how speaker adaptation transforms can be learned from speech in one language and applied to the acoustic models of another language. The adaptation is transferred across languages and/or from recognition models to synthesis models. The various approach...
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In the EMIME project, we are developing a mobile device that performs personalized speech-to-speech translation such that a user’s spoken input in one language is used to produce spoken output in another language, while continuing to sound like the user’s voice. We integrate two techniques, unsupervised adaptation for HMM-based TTS using a wordbased large-vocabulary continuous speech recognizer...
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تاریخ انتشار 2010