Jean Sauvenel Beaudry

Model · Text to speech

Fatiman-TTS-v1-onnx

Jean Sauvenel Beaudry

This is the Haitian Creole fine-tune of Pocket TTS (from french24l), exported to ONNX for on-device use with ONNX Runtime. It is what the Klara mobile app (Expo / React Native, Android) loads. The stock export passes a fixed-size KV cache (100 MB) in and out of the graph every frame. On a phone, that copy cost more than the model itself. This export takes each layer's past keys and values at their used length, and returns only the new positions: The caller appends new to its own buffers. The Klara app uses one time-major buffer per layer and feeds zero-copy prefix views. 1. Voice: run once with textembeddings = [bosbeforevoice, voice frames] and empty past. Keep the outputs as that voice's…

Model · Text to speech

Fatiman-TTS-v1

Jean Sauvenel Beaudry

A Haitian Creole (Kreyòl) text-to-speech model: Kyutai's Pocket TTS (French 24-layer model) fine-tuned on Kreyòl speech. It runs on a CPU and streams: the first audio arrives in about 0.12 s on a laptop. It is the voice of Klara, a Kreyòl voice assistant that runs offline. 80 held-out Kreyòl sentences (none in training), read aloud and transcribed back by two speech recognizers; character error rate, lower is better. The French model already reads Kreyòl at about 20% CER (its errors are French spelling habits, silent final letters above all); the fine-tune keeps its tokenizer and text embedding and teaches it Kreyòl spelling. Nine Kreyòl voices come with the model, in voices/. Each was made…