empero-ai/PiVo-1.4M · Hugging Face

PiVo-1.4M How many parameters does a voice need? PiVo is our attempt at an answer: two English voices, Pi and Vo , from a complete text-to-speech stack with 1,401,562 learned parameters , vocoder included. A 584,965-parameter acoustic model predicts vocoder features, and an 816,597-parameter FARGAN-derived vocoder turns them into 16 kHz mono audio . Everything runs locally on a CPU with NumPy and ONNX Runtime. There is no PyTorch, teacher model, speaker encoder or network connection involved at inference time. PiVo is a research model. Its speech is very intelligible, but some sentences still have a metallic or robotic texture. The technical report describes what we measured and what we tried.