Alan W Black,

Carnegie Mellon University –

Abstract:

This talk will look at the past, present and future of speech synthesis and how it relates to speech processing development in general. Specifically I will outline the advances in synthesis technology giving analogies to the developments in other speech and language processing fields (e.g. ASR and SMT) where knowledge-based techniques gave way to data-driven techniques, which in turn have pushed both machine learning technologies and later re-introduced techniques to include higher level knowledge in our data-driven approaches. We will give overviews of diphone, unit selection, statistical parametric synthesis, voice morphing technologies and how synthesis can be optimized for the desired task. We will also address issues of evaluation, both in isolation and when embedded in real tasks. (NOTE: the talk will take place at VA4, Pavilhão de Civil, IST)

 

Date: 2009-Jun-05     Time: 15:00:00     Room: 336

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