Author

Ze-Yang Song

2 papers indexed here

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Preprint Aug 2026

EmoTra-TTS: Smooth Intra-Utterance Emotion Transitions for Speech Synthesis

Psychological research on emotion dynamics has established that human affect is a continuous, evolving process: emotions rise, decay, and transition within seconds. Current emotional text-to-speech (TTS) systems, however, condition on a single discrete label or static embedding per utterance, fundamentally misaligning...

Tianchi Liu, Ze-Yang Song, Tian-Rui Wang et al. · 3 citations

#artificial intelligence Preprint Aug 2026

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

Human evaluation on diagnosed low-quality TTS outputs diagnosed by an AudioLLM shows that LoopTTS can detect perceptually salient errors and correct them with the Refiner, outperforming raw generated audio and practical open-loop re-generation baselines in recovery quality.

Ze-Yang Song, Tianyu Liu, Tian-Rui Wang et al. · 1 citation