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New LoopTTS system uses AudioLLM to refine synthesized speech quality

By PulseAugur Editorial · [1 sources] ·

Researchers have developed LoopTTS, a novel closed-loop Text-to-Speech (TTS) system designed to correct prosodic defects in synthesized audio. This system utilizes an AudioLLM as a judge to identify issues like misplaced stress or unnatural pauses, then employs a fine-grained instruction-following TTS model, the Refiner, to re-synthesize the audio with guided corrections. A new dataset, Refiner-DB, containing 42,000 annotated examples, was created to train the Refiner, demonstrating improved audio quality and better control over prosody compared to existing methods. AI

IMPACT This closed-loop TTS system could lead to more natural and expressive synthesized speech, improving accessibility and user experience in various applications.

RANK_REASON The cluster contains a research paper detailing a new system and dataset 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 LoopTTS system uses AudioLLM to refine synthesized speech quality

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The cluster contains a research paper detailing a new system and dataset 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) · 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

    arXiv:2608.28970v1 Announce Type: cross Abstract: Current TTS systems typically rely on open-loop, single-pass generation and can produce sporadic local prosodic defects, such as misplaced stress, unnatural pauses, or flattened intonation, that utterance-level metrics often fail …

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