Papers by Taejun Bak

1 papers
MultiVerse: Efficient and Expressive Zero-Shot Multi-Task Text-to-Speech (2024.findings-emnlp)

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Challenge: Text-to-speech systems that scale up the amount of training data have certain limitations: they require a large amount of data, which increases costs, and overlook prosody similarity.
Approach: They propose a zero-shot multi-task TTS system that can perform TTS or speech style transfer in zero- shot and cross-lingual conditions.
Outcome: The proposed system outperforms other TTS systems trained with the same small amount of data and achieves zero-shot performance comparable to data-driven systems.

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