Papers with prosody modeling

1 papers
CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-Training (2023.acl-long)

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Challenge: Existing methods for expressive text-to-speech only implicitly learn prosody with masked token reconstruction tasks.
Approach: They propose a cross-modal contrastive pre-training framework that learns from prosody variance of the same text token under different contexts.
Outcome: The proposed framework can learn from prosody variance of a text token under different contexts.

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