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| title: FDSpeech TTS Comparison | |
| emoji: 🎧 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 6.9.0 | |
| app_file: app.py | |
| python_version: "3.10" | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: Compare VoxCPM2 4/10-step and FDSpeech 4-step speech | |
| models: | |
| - voidful/FDSpeech-VoxCPM2 | |
| # FDSpeech: four-step VoxCPM2 comparison | |
| This Space provides aligned Seed-TTS English listening examples for: | |
| - original VoxCPM2 at four steps; | |
| - original VoxCPM2 at ten steps; and | |
| - **FDSpeech** at four steps. | |
| FDSpeech is the released VoxCPM2 LoRA adapter trained with a | |
| Fréchet-distance loss on speech representations. It improves upstream | |
| Seed-TTS English WER from 2.2279% for the original four-step sampler to | |
| 1.4147%, without adding an inference-time module. | |
| - Model: [`voidful/FDSpeech-VoxCPM2`](https://huggingface.co/voidful/FDSpeech-VoxCPM2) | |
| - Code: [`voidful/fd-speech`](https://github.com/voidful/fd-speech) | |
| - Paper: [Fréchet Distance Loss on Speech Representations for Text-to-Speech Synthesis](https://arxiv.org/abs/2607.06027) | |
| The Space serves checked-in, aligned audio so every system uses the same prompt | |
| and evaluation seed. Negative cases are included alongside improvements. | |