{"repo":"ekhodzitsky/gigastt","free":true,"listed":false,"github":"https://github.com/ekhodzitsky/gigastt","clone":"git clone https://github.com/ekhodzitsky/gigastt.git","description":"Local STT server powered by GigaAM v3.","language":"Rust","stars":43,"topics":["gigaam","onnx","speech-recognition","stt","asr","on-device","onnxruntime","privacy","russian","rust"],"license":"MIT","category":"mobile-apps","readme_excerpt":"gigastt Embeddable on-device Russian speech-to-text — one Rust binary, no cloud. MIT engine; default ASR weights MIT (optional speaker model is CC BY 4.0 — see NOTICE). English Русский --- gigastt turns any machine into a private Russian speech-recognition server — or embeds the same engine into a Rust app or an Android binary. It runs the open GigaAM v3 model fully on-device via ONNX Runtime: no cloud, no API keys. At a glance Private, on-device Embeddable + streaming Accurate Russian Tiny, file-RTF 0.10 --- --- --- --- No cloud, no keys — after the one-time model download the runtime is 100% local. MIT engine on MIT ASR weights (optional WeSpeaker is CC BY 4.0). One static binary, a C-ABI FFI for mobile, or the gigastt-core crate — with incremental WebSocket partials, no Python. Live WS is not batch-equal WER. Most accurate on 3 of 4 in-distribution Russian domains: far-field 4.08%, phone 18.50%, YouTube 10.91%; statistical tie on clean read. 225 MB INT8 model, file RTF 0.10 ( 10× faster than the audio on CPU), 0.94 s cold-start. WER clean 3.55% / far-field 4.08% / phone 18.50% / YouTube 10.91% · held-out CV 2.63% (beats Vosk+FW) · FLEURS 5.26% (FW 3.84 leads) · RuLS 4.21% (beats Vosk+FW) · SOVA device: Vosk ahead · ToneWebinars: FW 8.33 leads (gigastt 13.0) · RTF 0.10 (files) · Model 225 MB INT8 · Cold-start 0.94 s · RAM 46 MB resident ( 277 MB ps ) · 66 MB pool-2 ( 510 MB ps ) · Streaming TTFP p50 0.82 s far-field / 1.65 s crowd (one-clip golos 00 0.78 s) GigaAM v3 rnnt h","default_branch":null,"files":null,"tree":[],"storefront":"/r/ekhodzitsky","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ekhodzitsky/gigastt/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}