README.md

metadata

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
• Code: voidful/fd-speech
• Paper: Fréchet Distance Loss on Speech Representations for Text-to-Speech Synthesis

The Space serves checked-in, aligned audio so every system uses the same prompt and evaluation seed. Negative cases are included alongside improvements.