Summary of Emoknob: Enhance Voice Cloning with Fine-grained Emotion Control, by Haozhe Chen et al.
EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control
by Haozhe Chen, Run Chen, Julia Hirschberg
First submitted to arxiv on: 1 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Sound (cs.SD); Audio and Speech Processing (eess.AS)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A new framework called EmoKnob allows for fine-grained control over the emotions in synthesized speech, leveraging recent advances in foundation voice cloning models. The framework uses few-shot demonstrative samples to generate arbitrary emotions, enabling an intuitive interface for controlling a diverse array of nuanced emotions. Two methods are proposed for applying emotion control on emotions described by open-ended text. To facilitate a more systematic emotional speech synthesis field, evaluation metrics are introduced to rigorously assess the faithfulness and recognizability of emotion control frameworks. The framework is shown to effectively embed emotions into speech, surpassing the expressiveness of commercial TTS services. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary EmoKnob is a new way to make synthesized speech sound more emotional and expressive. It lets users choose how emotional they want their speech to be, using just a few examples of what that emotion sounds like. The system uses special voice models to create the speech, and it’s better than other systems at making speech sound emotional. |
Keywords
» Artificial intelligence » Few shot
