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speechbrain-ecapa-tdnn
Speaker (voice) recognition with SpeechBrain's ECAPA-TDNN trained on VoxCeleb. 192-d L2-normalised embeddings, ~1.9% Equal Error Rate on VoxCeleb1-O. APACHE 2.0 — commercial-safe. The checkpoint is auto-downloaded from HuggingFace on first LoadModel (no separate weight file in gallery `files:`). Points at the upstream SpeechBrain HF repo directly — same bytes every deployment.

Repository: localaiLicense: apache-2.0

wespeaker-resnet34
Speaker recognition with WeSpeaker's ResNet34 trained on VoxCeleb, exported to ONNX. 256-d embeddings, CPU-friendly — avoids the PyTorch runtime entirely (onnxruntime only). APACHE 2.0. Pair with the `speaker-recognition` backend's OnnxDirectEngine. Use when ECAPA-TDNN's torch dependency is undesirable (small images, edge deployments).

Repository: localaiLicense: apache-2.0