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cloud.google.com·7h ago
AI Research
arXiv CS.AI·11d ago·5 min read
SCIC: Scope- and Codebook-Aware Instruction Conditioning for Speaker-Adapted Expressive TTS
TL;DR
SCIC introduces a novel approach to improve prosody control in text-to-speech (TTS) systems by utilizing Speaker-Relative Inline Prosody Control, enhancing expressive speech synthesis. This method allows for more nuanced control over pitch and energy, resulting in better paragraph-level coherence in long-form audio outputs.
✦ Why It Matters
Implement SCIC in your TTS projects to achieve better prosody control and expressive speech synthesis.
Key Takeaways
- Utilize SCIC for improved prosody in TTS applications.
- Analyze codebooks to optimize pitch and energy control.
- Implement multi-reward GDPO for better synthesis quality.
- Focus on clause-level adjustments for enhanced coherence.
How It Works
SCIC employs a Temporal Instruction Router to activate frame-level tags, allowing for precise control over pitch and energy based on the context of preceding clauses. This is complemented by Tag-Specific Codebook Weighting, which adjusts the influence of different codebooks on the generated audio, ensuring that the prosody aligns with the speaker's style.