Papers with Text-to-Speech models
PresentAgent: Multimodal Agent for Presentation Video Generation (2025.emnlp-demos)
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| Challenge: | Existing methods for generating static slides or text summaries are limited to producing narrated presentations. |
| Approach: | They propose a multimodal agent that transforms long-form documents into narrated presentations. |
| Outcome: | The present agent produces fully synchronized visual and spoken content that closely mimics human-style presentations. |
LibriS2S: A German-English Speech-to-Speech Translation Corpus (2022.lrec-1)
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| Challenge: | Recent advances in speech-to-text translation have led to significant improvements, but the availability of appropriate training data is limiting. |
| Approach: | They propose a new text-to-speech and speech-tospech translation model that directly learns to generate the speech signal based on the pronunciation of the source language. |
| Outcome: | The proposed model learns to generate speech signal based on pronunciation of source language. |