| --- |
| license: mit |
| language: |
| - multilingual |
| tags: |
| - onnx |
| - speaker-verification |
| - speaker-embedding |
| - voice-identity |
| base_model: PalabraAI/redimnet2 |
| library_name: onnx |
| pipeline_tag: audio-classification |
| --- |
| |
| # ReDimNet2-B6 ONNX Speaker Embeddings |
|
|
| ReDimNet2-B6 produces local speaker embeddings for comparing clean voice |
| samples. It does not diarize audio or assign names by itself. |
|
|
| ## Model |
|
|
| | Property | Value | |
| |---|---:| |
| | Parameters | 12.3 million | |
| | Format | ONNX opset 18, Float32 | |
| | Model size | 48.9 MiB | |
| | Input | `audio`, `[1, 96000]` mono Float32 samples | |
| | Sample rate | 16 kHz | |
| | Window | 6 seconds | |
| | Output | `embedding`, `[1, 192]` L2-normalized Float32 | |
|
|
| Applications should repeat clean two-to-six-second speech to fill the input |
| and center-crop longer samples. Do not use overlapping, mixed, or |
| unalignable speech as identity evidence. |
|
|
| ## Performance |
|
|
| The export is rejected unless its embedding has cosine similarity at least |
| 0.9999 with the pinned PyTorch checkpoint and remains unit-normalized. |
|
|
| | Measurement | Result | |
| |---|---:| |
| | Warm six-second CPU inference | 245.5 ms | |
|
|
| Latency is measured on the export host and is not a Windows hardware claim. |
|
|
| ## C++ usage |
|
|
| The supported native host is |
| [speech-core](https://github.com/soniqo/speech-core): |
|
|
| ```cpp |
| #include <speech_core/models/onnx_redimnet_speaker_embedding.h> |
| |
| speech_core::OnnxReDimNetSpeakerEmbedding model( |
| "ReDimNet2B6.onnx"); |
| auto embedding = model.embed(samples.data(), samples.size(), 16000); |
| ``` |
|
|
| ## Files |
|
|
| | File | Description | |
| |---|---| |
| | `ReDimNet2B6.onnx` | Fixed-shape speaker encoder | |
| | `config.json` | Graph contract, provenance, hashes, and parity | |
| | `README.md` | This model card | |
| | `LICENSE` | Upstream MIT license | |
|
|
| ## Source |
|
|
| Converted from the official |
| [PalabraAI/ReDimNet2](https://github.com/PalabraAI/redimnet2) B6 |
| `vb2+vox2_v0` large-margin checkpoint. The pinned source revision and |
| checkpoint SHA-256 are recorded in `config.json`. |
|
|
| Speaker embeddings are useful for labeling; they are not biometric |
| authentication and do not protect against voice spoofing. |
|
|
| ## Links |
|
|
| - [speech-core](https://github.com/soniqo/speech-core) — C++ runtime |
| - [C++ docs](https://soniqo.audio/speech-core) |
| - [soniqo.audio](https://soniqo.audio) |
| - [blog](https://soniqo.audio/blog) |
|
|
