DFKI-LT - Towards unsupervised articulatory resynthesis of German utterances using EMA data

Ingmar Steiner, Korin Richmond
Towards unsupervised articulatory resynthesis of German utterances using EMA data
1 Interspeech, Pages 2055-2058, Brighton, United Kingdom, ISCA, 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.
 
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