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FluffyBunnies/
titanet-small-onnx

Name: titanet-small-onnx
Availability: InStock

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TitaNet-small (ONNX) — browser speaker embeddings

ONNX export of NVIDIA NeMo TitaNet-small speaker-embedding model, packaged for in-browser speaker diarization via onnxruntime-web (WASM).

Used by the Silent Notetaker, an on-device meeting notetaker. Hosted here so the app can be served from static hosts with small per-file limits (e.g. Cloudflare Pages) and load the model from a CDN.

I/O

Tensor	Shape	dtype	Notes
input `audio_signal`	`[1, 80, T]`	float32	80-bin log-mel (slaney), 16 kHz
input `length`	`[1]`	int64	number of mel frames `T`
output `embs`	`[1, 192]`	float32	L2-normalizable speaker embedding

The mel front-end is reimplemented in pure JavaScript and byte-validated against the reference Python (cosine similarity 1.000000). Compare embeddings with cosine similarity.

~40 MB, single-file. Loads with:

const ort = await import('https://cdn.jsdelivr.net/npm/onnxruntime-web/dist/ort.wasm.bundle.min.mjs');
const session = await ort.InferenceSession.create(
  'https://huggingface.co/FluffyBunnies/titanet-small-onnx/resolve/main/titanet.onnx',
  { executionProviders: ['wasm'] });