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arXiv AI By Junhui Zhang, Qianhui Xu, Qingxiang Guo, Dawei Yang, Ling Miao, Qiangqiang Wang, Yang Song

Poly-InstructTTS: Learning In-the-Wild Expressive Speech Synthesis from Open-Ended Instructions

Read the original on arXiv AI →

Poly-InstructTTS is a text‑to‑speech system that learns expressive speech from open‑ended natural‑language instructions using a 1,000‑hour, 1,000‑plus emotion and style annotated audiovisual corpus. The approach employs a prompt‑free GPT with attribute‑based thinking tokens and a flow‑matching module to inject timbre from reference audio, and includes a speaker fine‑tuning procedure to transfer instruction control while preserving speaker persona. Experiments demonstrate strong instruction adherence and expressiveness, with audio demos and an expanded test set available on the project page.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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