Papers by Shun Lei

1 papers
Unsupervised Multi-scale Expressive Speaking Style Modeling with Hierarchical Context Information for Audiobook Speech Synthesis (2022.coling-1)

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Challenge: a recent study has shown that expressiveness of audiobooks is limited by the averaged global-scale speaking style representation.
Approach: They propose an unsupervised multi-scale context-sensitive text-to-speech model for audiobooks . they use hierarchical context encoder to predict global-scale contextual style embeddings .
Outcome: The proposed model outperforms existing models on a real-world Mandarin audio dataset.

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