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

• URL: http://arxiv.org/abs/2310.09636v1
• Date: Sat, 14 Oct 2023 18:15:51 GMT
• Title: Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody Modelling
• Authors: Tiberiu Boros and Stefan Daniel Dumitrescu and Ionut Mironica and Radu Chivereanu
• Abstract summary: 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.
• Score: 0.36868085124383626
• License: http://creativecommons.org/licenses/by/4.0/
• 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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