Papers with expressive synthesis

2 papers
Emosical: An Emotion-Annotated Musical Theatre Dataset (2024.findings-emnlp)

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Challenge: Emosical provides rich emotion annotations for musical films by inferring the background story of the characters.
Approach: They propose to use a multimodal dataset of musical films to generate annotated emotion tags for each sample by inferring the background story of the characters.
Outcome: The proposed dataset provides rich emotion annotations for musical films by inferring the background story of the characters.
Prosody-TTS: Improving Prosody with Masked Autoencoder and Conditional Diffusion Model For Expressive Text-to-Speech (2023.findings-acl)

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Challenge: Expressive text-to-speech aims to generate high-quality samples with rich prosody . prosodic attributes in highly dynamic voices are difficult to capture and model without intonation .
Approach: They propose a pipeline that enhances prosody modeling and sampling by introducing a self-supervised masked autoencoder and a diffusion model to sample diverse prosodic patterns within the latent space.
Outcome: The proposed pipeline achieves new state-of-the-art in text-to-speech with natural and expressive synthesis.

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