arXiv AI By Zeyang Song, Tianchi Liu, Tianrui Wang, Chenglin Xu, Steven Y. Guo, Haizhou Li

Diagnose, Then Refine: A Closed-Loop TTS System with AudioLLM-Guided Correction

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arXiv Computation and Language
Sep 22

COT-TTS: Audio Context-Aware Text-to-Speech with Chain-of-Thought Reasoning

arXiv:2609.22697v1 Announce Type: new Abstract: Recently, text-to-speech systems have made significant progress in speech expressiveness and controllability. However, the speaking style of generated...

By Weizhen Bian, Sitong Cheng, Rongxiu Zhong, Jiahao Pan, Liumeng Xue, Boyi Kang, Shilei Zhang, Jinglei Liu, Yue Wang, Junlan Feng, Bei Liu, Wei Xue
arXiv AI
Oct 1

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

The paper introduces SCIC, a method that enhances speaker‑adapted expressive TTS by conditioning prosody instructions on both scope and codebook usage. SCIC uses a Temporal Instruction Router to activate frame‑level tags and Tag‑Specific Codebook Weighting to target residual codebooks for Pitch, Energy, and Speed, while Pause uses absolute durations. The approach improves clause‑level prosodic control and yields a clearer paragraph‑level expressive hierarchy compared to standard instruction fine‑tuning, with post‑training optimization preserving quality and speaker similarity.

By Longyu Lu, Zongwei Du, Mengtao Xing, Zhuoqun Liu, Zifan Guan, Meiguang Jin, Junfeng Ma
arXiv AI
Sep 18

Multi-Dimensional Prosody Judgment For Live Streaming Speech Synthesis

The paper introduces Live-ProsodyJudge (LPJ), a cost‑effective pairwise evaluator distilled from Gemini for assessing fine‑grained prosody in live streaming TTS. It identifies a flaw called verdict coupling, where multi‑dimensional scores collapse into a single preference, and proposes Decoupled‑Live‑ProsodyJudge (D‑LPJ) to eliminate this issue through masking and a span‑local GRPO strategy. Experiments show LPJ outperforms a single Gemini call in accuracy, and D‑LPJ provides independent dimension judgments, achieving high alignment with human top‑3 selections in a TTS candidate tournament.

By Zifan Guan, Longyu Lu, Junan Zhang, Zhizheng Wu, Meiguang Jin, Junfeng Ma