GoKawiilInflect-Micro-v2
Complete local text-to-waveform speech synthesis under 10M parameters.
Fixed-voice English TTS with deterministic seeds, long-text handling, and CPU or CUDA inference.
A note from Owen I built and funded Inflect v2 independently. If this release finds a real audience, I would like to continue the project with a broader v3, which might include things like more langauges, voices, and stability improvements. If the model is useful to you, leaving a like on Hugging Face genuinely helps more people discover it.
9,356,513 deployable parameters · 37.53 MB FP32 · 24 kHz mono output
Inflect v2 uses one public API across two sizes: Micro prioritizes quality below 10M parameters; Nano prioritizes footprint below 4M.
Listen
These are held-out text generations, not reconstructions of training audio. Each transcript is shown exactly as passed to the public frontend.
Test Exact transcript Generated audio Conversational It wasn't until later that I realized what had actually happened. Punctuation First, close the window; second, turn off the lamp; finally, lock the door. Numbers The package weighs twelve point six kilograms and arrived on July twenty-first. Names and places Gwendolyn photographed the eucalyptus trees outside Ljubljana. Technical The system runs on three core components that all have to stay in sync.
Evaluation
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