Streaming on-device speech recognition for Android — NEON-accelerated FastConformer (32M params), cache-aware streaming with 80 ms look-ahead, no cloud. Powered by the VoxRT runtime.

On device streaming voice activity detection (Silero VAD v5) for Android. ~424 KB native binary, NEON-accelerated arm64-v8a, RTF ~3% on Snapdragon 662.

Streaming on-device speech recognition for iOS — NEON-accelerated, encrypted FastConformer (32M params), RTF 0.08–0.10 on iPhone 13 Pro Max. Built on the VoxRT custom Rust inference runtime. SwiftPM distribution.

On device streaming voice activity detection (Silero VAD v5) for iOS. Custom Rust inference runtime, NEON-accelerated arm64, RTF ~1.85% on iPhone.

On-device wake-phrase detection for Linux aarch64 — one glibc-2.17 .so behind Python (PyPI wheel), Node.js (npm), Go (go get), C/C++ (tarball + CMake), Rust. RTF 0.053 on Raspberry Pi Zero 2 W. Same runtime as voxrt-wake-word-{android,ios}.

Pre-compiled ASR model weights for the VoxRT on-device runtime. Encrypted .vxrt v2 format. streaming-medium-pc: FastConformer 32M, CTC + RNN-T, CC-BY-4.0 (NVIDIA NeMo).

Always-on wake-phrase detection for Android on the VoxRT custom on-device inference runtime — Kotlin library, 16 kHz mono PCM in, threshold-crossing events out. Custom phrases at voxrt.com.

Always-on wake-phrase detection for iOS on the VoxRT custom on-device inference runtime — Swift Package, 16 kHz mono PCM in, threshold-crossing events out. Custom phrases at voxrt.com.

On-device wake-phrase detection in the browser — WebAssembly + SIMD128, ~275 KB total (runtime + model), no server. Same runtime as voxrt-wake-word-{android,ios,linux}. Free demo tier of the VoxRT wake-word family.

Pre-compiled Silero v5 VAD weights in .vxrt format for the VoxRT inference runtime. AES-256-GCM encrypted, ~1.2 MB, MIT.

Wake-phrase model weights (.vxrt, ~100 KB, AES-GCM encrypted) for the VoxRT custom on-device inference runtime. Paired with voxrt-wake-word-{android,ios,linux}. Custom phrases at voxrt.com.

On-device 14-way keyword spotting in the browser — WebAssembly + SIMD128, ~1.5 MB total (runtime + model), no server. Same runtime as voxrt-kws-{linux,android,ios}.

On-device streaming ASR (speech-to-text) for Linux x86_64 + aarch64 — one hardened .so behind Python (PyPI), Node.js (npm), Go (go get), C/C++ (tarball + CMake). AVX2 on servers, NEON on edge. RNN-T + CTC, RTF 0.06–0.08 on x86_64. Same runtime as voxrt-asr-{android,ios}.

On-device 14-way keyword spotter for Linux x86_64 + aarch64 — one glibc-2.17 .so behind Python (PyPI), Node.js (npm), Go (go get), C / C++ (tarball + CMake). Streaming Conformer, RTF 1 % on WSL AVX2, 32 % on Pi Zero 2 W NEON. Same runtime as voxrt-kws-{android,ios} (upcoming).

14-way keyword-spotting model weights (.vxrt v2, AES-256-GCM encrypted) for the VoxRT on-device runtime. Streaming Conformer-Medium (636 K params, 1.28 MB). Paired with voxrt-kws-{linux,browser}.

On-device 14-way keyword spotter for iOS — Swift Package on the VoxRT custom Rust runtime. 16 kHz mono PCM in, per-class detections out. Streaming Conformer with NEON kernels, same runtime as voxrt-kws-{linux,android,browser}. Upcoming.

On-device 14-way keyword spotter for Android — Kotlin library on the VoxRT custom Rust runtime. 16 kHz mono PCM in, per-class detections out. Streaming Conformer, RTF 16 % on Snapdragon 662 A73. Same runtime as voxrt-kws-{linux,browser}.

Distribute pre-compiled VoxRT wake-word model weights for on-device inference using the compact .vxrt format.

Stream on-device speech recognition on Android using the custom VoxRT inference runtime with NeMo FastConformer support.

Run Silero v5 voice activity detection on iOS using a custom, high-performance Rust inference runtime for low-latency streaming.