SteerTTS Edge将可控英语TTS压缩至11.84 MB
AI 总结
开发者/u/Working_Hat5120发布了SteerTTS Edge，其完整应用载荷为11.84 MB，包含权重、音色、文本前端和Python运行时。9.25M参数声学模型与6.2M参数Vocos风格声码器均采用int4量化感知训练，运行时文本前端仅依赖NumPy。开发者本地按Open TTS Leaderboard协议测试称，Seed-TTS的WER保持0.96%，UTMOS下降约0.1至4.11，12项可控参数均保留至少95%的fp32效果，但结果并非官方榜单提交。
深度见解
SteerTTS Edge为需要可控英语语音且应用载荷较小的项目提供了轻量版本，但质量和控制效果数据来自开发者本地测试，并非官方榜单提交。
A while back I posted SteerTTS v1, a small English TTS you steer with numbers (https://huggingface.co/WhissleAI/steer-tts). Today I am releasing the edge variant:
https://huggingface.co/WhissleAI/steer-tts-edge
Size: everything an app has to ship (weights, voices, text front end and Python runtime) totals 11.84 MB.
How:
- Acoustic model (9.25M params, attention + bidirectional Mamba-3) is quantization-aware trained to int4
- 6.2M-param Vocos-style vocoder is distilled from
charactr/vocos-mel-24khz, also int4 QAT - Text front end is pure numpy, with no NLTK, g2p_en, torchaudio or num2words at runtime
Quality (Open TTS Leaderboard protocol, run locally, not an official submission):