vadonnx 0.1.0a2

Load arbitrary Voice Activity Detection (VAD) models behind a unified ONNX API

vadonnx

Load arbitrary Voice Activity Detection models behind a single, unified API — every model runs through ONNX Runtime. One streaming/​batch interface, one audio-format story, pluggable models.

from vadonnx import load_vad

vad = load_vad("silero")                              # bundled, works fully offline
prob = vad.process_chunk(pcm_bytes)                   # streaming → float in [0, 1]
segments = vad.get_speech_segments(audio, sample_rate=16000)
# -> [SpeechSegment(start=0.32, end=2.27), SpeechSegment(start=3.27, end=4.45), ...]

Why

Every VAD ships its own loader, audio format, feature pipeline and state handling. vadonnx hides that behind one VADModel interface: feed it audio (raw int16 bytes, numpy arrays, any sample rate) and get back per-frame speech probabilities or ready-made speech segments. Models are described declaratively by an IOSignature, so a single generic engine drives most of them and you can point the same API at any custom .onnx file.

• Lightweight runtime — only numpy, onnxruntime, huggingface_hub.
• Offline by default — a small Silero model is bundled in the wheel.
• Streaming and batch — process_chunk() for live audio, get_speech_segments() / probabilities() for whole buffers.
• Bring your own model — load any ONNX VAD by path/URL with a signature.
• Extensible — third parties register backends/models via entry points.

Install

uv pip install vadonnx          # runtime (numpy + onnxruntime + huggingface_hub)
uv pip install "vadonnx[mic]"   # + microphone examples

Models

name	rate	parity vs upstream	notes
silero / silero-8k / silero-op15	16k / 8k / 16k	MAE 0	bundled default, raw PCM
marblenet / marblenet-int8	16k	MAE 4e-4	NVIDIA NeMo Frame-VAD, multilingual (license)
pyannote / pyannote-int8	16k	MAE 0	pyannote segmentation-3.0, windowed
fsmn / fsmn-quant	16k	tracks upstream	FunASR FSMN-VAD; needs vadonnx[fsmn]
speechbrain	16k	MAE 0	SpeechBrain CRDNN, LibriParty-trained
ten	16k	—	feature extractor provided by TEN's native library

See docs/backends.md for per-model detail and the benchmark for measured comparisons across datasets, including WebRTC and energy baselines.

Models other than the bundled Silero are downloaded on first use from the TigreGotico HuggingFace org and cached under $XDG_DATA_HOME/vadonnx. See docs/backends.md for per-model detail and parity notes.

CLI

vadonnx list                       # list available models
vadonnx probe silero               # print a model's ONNX input/output signature
vadonnx segment speech.wav         # print detected speech segments of a WAV

Documentation

• Quickstart
• Streaming
• Custom models & IOSignature
• Backends & parity notes
• Plugins
• Model conversion
• Licensing
• API reference

License

Apache-2.0. Bundled/downloaded model weights retain their upstream licenses — see docs/licensing.md.