speaker_encoder/config.json

{
  "architectures": [
    "EcapaTdnnSpeakerEncoder"
  ],
  "auto_map": {
    "AutoConfig": "configuration_ecapa_tdnn.EcapaTdnnSpeakerEncoderConfig",
    "AutoModel": "modeling_ecapa_tdnn.EcapaTdnnSpeakerEncoder",
    "AutoModelForFeatureExtraction": "modeling_ecapa_tdnn.EcapaTdnnSpeakerEncoder",
    "AutoFeatureExtractor": "feature_extraction_ecapa_tdnn.EcapaTdnnFeatureExtractor",
    "AutoTokenizer": "tokenizer_ecapa_tdnn.EcapaTdnnDummyTokenizer"
  },
  "model_type": "ecapa_tdnn_speaker_encoder",
  "mel_dim": 128,
  "enc_dim": 2048,
  "enc_channels": [
    512,
    512,
    512,
    512,
    1536
  ],
  "enc_kernel_sizes": [
    5,
    3,
    3,
    3,
    1
  ],
  "enc_dilations": [
    1,
    2,
    3,
    4,
    1
  ],
  "enc_attention_channels": 128,
  "enc_res2net_scale": 8,
  "enc_se_channels": 128,
  "sample_rate": 24000,
  "pipeline_tag": "feature-extraction",
  "torch_dtype": "float32",
  "feature_extractor_type": "EcapaTdnnFeatureExtractor"
}