9 March 2013

Workshop: 13h - 19h

Nicolas d'Alessandro will come to present us his approach to speach synthesis, which is radicaly different from classical sample based way :

Hands on Performative Speech Synthesis in Pure Data

Purposes of voice synthesis have significantly evolved over the last 50 years, tackling more and more complex challenges. The early first challenge has been to produce intelligible speech. Intelligible means that the message (words, sentences) can be understood by others. For this purpose, voice articulation is defined as rules, trajectories on production models parameters. Later, we see the challenge of producing voices with a more natural timbre. Here natural means that it has to be close enough from a real human voice, in order to be confusing and thus comfortable for the listener. This challenge has been addressed for the last 15 years by using prerecorded voice material (databases) and reorganize contents (by concatenating subdivided units) in order to meet the requested sentence. The impact of these different voice production strategies on achievable realtime abilities and controllability of the system is huge. Relying on a voice model gives access to production parameters, which is nice for realtime control, as far as a meaningful mapping can be designed (e.g. some problems with physical models). Using database segments helps in achieving natural sounds but highlights many controllability problems. Transversally to these issues, the “how can I patch that in Pure Data ?” question often pops up. This is exactly what we address in this tutorial! It is useful for anybody who is interested in producing synthetic voice in a realtime application, a digital instrument or an interactive artistic project. We require for some basic understanding of how voice is produced, not more than the basic source/filter representation, as more complex aspects of voice synthesis (such as spectral processing, articulatory models, unit management) will be re-explained and illustrated with examples. Indeed studied techniques will be described through simple patch examples.


 Photo (c) Johnty Wang

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