OpenVoiceOS/redimnet-b2-vox2-onnx
Updated
Note ReDimNet b2 — compact high-accuracy speaker embedding (1.8M params). Trained on VoxCeleb2, exported to ONNX. 192-dim embedding, raw audio input.
Note WeSpeaker ResNet34, 256-dim, fbank80 — default model.
Note WeSpeaker ECAPA-TDNN-512, 192-dim, fbank80.
Note WeSpeaker ResNet293, 256-dim, 28.6M params — highest accuracy.
Note Bundle: WeSpeaker CAM++, 3D-Speaker CAM++, ERes2Net, TitaNet, Speakernet.