DiFlowTTS

--- license: apache-2.0 language: - en pipeline_tag: text-to-speech --- <h1 align="center">DiFlow-TTS: Compact and Low-Latency Zero-Shot Text-to-Speech with Discrete Flow Matching</h1> <p align="center"> <a href="https://github.com/Fsoft-AIC/DiFlowTTS/tree/main"><img src="https://img.shields.io/badge/GitHub-Code-181717?logo=github" alt="GitHub"></a> <a href="https://arxiv.org/abs/2509.09631"><img src="https://img.shields.io/badge/arXiv-2509.09631-b31b1b?logo=arxiv" alt="Paper"></a> <a href="https://fsoft-aic.github.io/SonNN45-Demo/projects/diflowtts/"><img src="https://img.shields.io/badge/Demo-Page-blue?logo=googlechrome&logoColor=white" alt="Demo"></a> <a href="https://interspeech2026.org/en-AU"><img src="https://img.shields.io/badge/Interspeech-2026-orange" alt="Interspeech 2026"></a> </p> > [!NOTE] > DiFlow-TTS is trained on 470 hours of the LibriTTS dataset, which consists of **predominantly neutral speech**. As a result, **it may not perform well on prompts with strong emotional expression**. Download [DiFlow-TTS](https://huggingface.co/Fsoft-AIC/DiFlowTTS/blob/main/diflow-tts.ckpt) checkpoint, and place it as follows: ``` root/ └── ckpts/ └── diflow-tts.ckpt ```

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