Towards unsupervised articulatory resynthesis of German utterances using EMA data

Ingmar Steiner, Korin Richmond

In: Interspeech. Conference in the Annual Series of Interspeech Events (INTERSPEECH-09) September 6-10 Brighton United Kingdom Seiten 2055-2058 ISCA 9/2009.


As part of ongoing research towards integrating an articulatory synthesizer into a text-to-speech (TTS) framework, a corpus of German utterances recorded with electromagnetic articulography (EMA) is resynthesized to provide training data for statistical models. The resynthesis is based on a measure of similarity between the original and resynthesized EMA trajectories, weighted by articulatory relevance. Preliminary results are discussed and future work outlined.

Weitere Links

Interspeech2009.pdf (pdf, 1,007 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence