redimnet2-plus / config.json
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{
"model_type": "redimnet2",
"model_name": "b6",
"embed_dim": 192,
"sample_rate": 16000,
"n_mels": 64,
"hop_length": 160,
"n_fft": 512,
"max_duration_sec": 60,
"architecture": {
"encoder": "ReDimNet2Encoder",
"initial_channels": 64,
"out_channels": 224,
"pooling": "ASTP",
"return_2d_output": false
},
"training": {
"train_type": "lm",
"dataset": "vox2",
"loss": "sphereface2"
},
"format": {
"file_format": "pytorch_state_dict",
"key_prefix": "_orig_mod.",
"strip_prefix": true
}
}