Towards Unsupervised Articulatory Resynthesis of German Utterances using EMA data

Ingmar Steiner, Korin Richmond

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish
Title of host publicationInterspeech-2009
Pages2055-2058
Number of pages4
Publication statusPublished - 2009

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