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Idiap has a new opening for a PhD student position in Multilingual Affective Speech Synthesis

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In the context of a Swiss NSF grant, we seek a PhD student to work on multilingual and affective speech synthesis.

The research will begin with the state of the art in speech synthesis, probably based around deep neural networks (DNNs). Such networks have been shown recently to produce synthetic speech with better overall quality, especially with respect prosody, than other techniques. The student will then focus on modelling of speech with a view to extraction and modeling and adaptation of emotion (affect) in synthetic speech. To demonstrate the language independence of the models, it will be necessary to work in two or three languages.

To apply for this position, click on the following link: Multilingual Affective Speech Synthesis

Apr 07, 2016
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