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README.md

@@ -20,6 +20,6 @@ tags:
 - speaker-embedding
 - PyTorch
 - wespeaker
-licence: cc-by-4.0
+licence: mit
 ---
 This is the model card of a pyannote model that has been pushed on the Hub. This model card has been automatically generated.

config.yaml

@@ -1,10 +1,21 @@
 model:
-  _target_: pyannote.audio.models.embedding.wespeaker.WeSpeakerResNet34
-  dither: 0.0
-  frame_length: 25
-  frame_shift: 10
+  _target_: pyannote.audio.models.segmentation.PyanNet.PyanNet
+  linear:
+    hidden_size: 128
+    num_layers: 2
+  lstm:
+    batch_first: true
+    bidirectional: true
+    dropout: 0.0
+    hidden_size: 128
+    monolithic: true
+    num_layers: 4
   num_channels: 1
-  num_mel_bins: 80
   sample_rate: 16000
-  use_energy: false
-  window_type: hamming
+  sincnet:
+    sample_rate: 16000
+    stride: 10
+task:
+  duration: 10.0
+  max_speakers_per_chunk: 3
+  max_speakers_per_frame: 2

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c6ebcd5526d688deb24b12eaae4774a6d8337c22bf7b7f25c1eaa1c345f6cae5
-size 26644594
+oid sha256:cf667e302cb3ad72316803868e2cf007d35d506e4ac6daafdd527dfd69f3fa72
+size 5912144