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Running on Zero
| title: M5-TTS | |
| emoji: 🔊 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 6.15.1 | |
| app_file: app.py | |
| python_version: "3.10" | |
| startup_duration_timeout: 30m | |
| suggested_hardware: zero-a10g | |
| short_description: Reference-conditioned multilingual M5 speech synthesis | |
| # M5-TTS | |
| Reference-conditioned multilingual text-to-speech synthesis with a 16-codebook, | |
| 12.5 Hz Qwen speech codec. Target and reference transcripts use the verified | |
| `m5_tn/m5_infer.py` frontend with WeTextProcessing enabled by default. | |
| The codec is loaded from the pinned official | |
| `Qwen/Qwen3-TTS-12Hz-1.7B-Base` revision at startup. | |
| ## Usage | |
| 1. Upload or record a clean reference audio clip. | |
| 2. Enter the exact transcript of the reference. | |
| 3. Enter up to 250 characters of target text. | |
| 4. Select language and optional Cantonese (`yue`) or Sichuan (`chuan`) accent. | |
| 5. Generate and download the resulting audio. | |
| The app requires GPU hardware. It is packaged for Hugging Face ZeroGPU and uses | |
| one GPU allocation for the complete request. | |