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@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+SE_checkpoint.pth.tar filter=lfs diff=lfs merge=lfs -text

SE_checkpoint.pth.tar

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best_model.pth

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config.json

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+{
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+    "logger_uri": null,
+    "run_name": "YourTTS-RW",
+    "project_name": "YourTTS",
+    "run_description": "\n            - Original YourTTS trained using bible-dataset dataset\n        ",
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+    "model": "vits",
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+            "path": "/workspace/segmented_24k/",
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+            "language": "rw",
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+            "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent."
+        ],
+        [
+            "Be a voice, not an echo."
+        ],
+        [
+            "I'm sorry Dave. I'm afraid I can't do that."
+        ],
+        [
+            "This cake is great. It's so delicious and moist."
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+        [
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+        "speakers_file": "/workspace/output_dir/YourTTS-RW-December-22-2022_11+10PM-0000000/speakers.pth",
+        "d_vector_file": [
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+}

config_se.json

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+{
+    "model": "speaker_encoder",
+    "run_name": "speaker_encoder",
+    "run_description": "resnet speaker encoder trained with commonvoice all languages dev and train, Voxceleb 1 dev and Voxceleb 2 dev",
+    "epochs": 100000,
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+    "checkpoint": true,
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+    "num_loader_workers": 8,
+    "num_val_loader_workers": 0,
+    "use_noise_augment": false,
+    "output_path": "../checkpoints/speaker_encoder/language_balanced/normalized/angleproto-4-samples-by-speakers/",
+    "distributed_backend": "nccl",
+    "distributed_url": "tcp://localhost:54321",
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+        "preemphasis": 0.97,
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+        "stats_path": null
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+            "path": "/workspace/scratch/ecasanova/datasets/VoxCeleb/vox2_dev_aac/",
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+            "language": "voxceleb"
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+        "use_torch_spec": true,
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+        "rir": {
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+            "conv_mode": "full"
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+            "max_amplitude": 1e-05
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+    "storage": {
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+        "storage_size": 40
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+    "max_train_step": 1000000,
+    "loss": "angleproto",
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+    "wd": 1e-06,
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+    "num_speakers_in_batch": 100,
+    "num_utters_per_speaker": 4,
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+    "voice_len": 2.0
+}

speakers.pth

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