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arXiv · 2310.09636

Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody Modelling

Tiberiu Boros·Stefan Daniel Dumitrescu·Ionut Mironica·Radu Chivereanu
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Abstract

We describe an end-to-end speech synthesis system that uses generative adversarial training. We train our Vocoder for raw phoneme-to-audio conversion, using explicit phonetic, pitch and duration modeling. We experiment with several pre-trained models for contextualized and decontextualized word embeddings and we introduce a new method for highly expressive character voice matching, based on discreet style tokens.

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Tiberiu Boros, Stefan Daniel Dumitrescu, Ionut Mironica, Radu Chivereanu. 2023-10-14. Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody Modelling. https://arxiv.org/abs/2310.09636

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