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New SCIC method enhances expressive TTS with clause-level prosody control

Researchers have developed a new method called SCIC (Scope- and Codebook-Aware Instruction Conditioning) to enhance expressive Text-to-Speech (TTS) capabilities, particularly for long-form content like live-streaming. This approach allows for more precise control over prosody, such as pitch and energy, by enabling instructions to target specific clauses relative to preceding ones. SCIC analyzes the structure of codebooks in models like Qwen3-TTS to optimize instruction conditioning, leading to improved control accuracy and a more distinct hierarchical expressiveness in synthesized speech compared to standard instruction fine-tuning. AI

IMPACT This research could lead to more natural and engaging long-form synthesized speech for applications like live-streaming and audiobooks.

RANK_REASON The cluster contains an academic paper detailing a new method for TTS. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New SCIC method enhances expressive TTS with clause-level prosody control

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The cluster contains an academic paper detailing a new method for TTS. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Longyu Lu, Zongwei Du, Mengtao Xing, Zhuoqun Liu, Zifan Guan, Meiguang Jin, Junfeng Ma ·

    SCIC: Scope- and Codebook-Aware Instruction Conditioning for Speaker-Adapted Expressive TTS

    arXiv:2609.39088v1 Announce Type: cross Abstract: Long-form live-streaming TTS requires context-dependent prosody and paragraph-level coherence. However, many existing instruction-based TTS systems use global or uniform conditions, providing limited explicit control over clause-l…