Update sample rate on notebook

notebooks/Model Evaluation.ipynb

@@ -146,8 +146,8 @@
    "outputs": [],
    "source": [
     "# Datasets\n",
-    "train_dataset = VoiceDataset(TRAIN_PATH, MEL_SPEC, SAMPLE_RATE, device)\n",
-    "test_dataset = VoiceDataset(TEST_PATH, MEL_SPEC, SAMPLE_RATE, device)\n",
+    "train_dataset = VoiceDataset(TRAIN_PATH, MEL_SPEC, device, SAMPLE_RATE)\n",
+    "test_dataset = VoiceDataset(TEST_PATH, MEL_SPEC, device, SAMPLE_RATE)\n",
     "\n",
     "# Dataloaders\n",
     "train_dataloader = DataLoader(train_dataset, batch_size=BATCH_SIZE, shuffle=True)\n",
@@ -193,7 +193,7 @@
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      ]
     },
@@ -208,7 +208,7 @@
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      ]
     },
@@ -227,7 +227,7 @@
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      ]
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@@ -246,7 +246,7 @@
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@@ -265,7 +265,7 @@
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      ]
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@@ -284,7 +284,7 @@
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      ]
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@@ -303,7 +303,7 @@
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-      "\r",
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@@ -322,7 +322,7 @@
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@@ -341,7 +341,7 @@
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@@ -360,7 +360,7 @@
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@@ -379,7 +379,7 @@
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@@ -398,7 +398,7 @@
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-      "\r",
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@@ -417,7 +417,7 @@
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@@ -436,7 +436,7 @@
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@@ -456,7 +456,7 @@
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@@ -512,7 +512,7 @@
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@@ -531,7 +531,7 @@
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@@ -569,7 +569,7 @@
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@@ -588,7 +588,7 @@
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@@ -607,7 +607,7 @@
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@@ -645,7 +645,7 @@
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@@ -664,7 +664,7 @@
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@@ -683,7 +683,7 @@
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@@ -702,7 +702,7 @@
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@@ -797,7 +797,7 @@
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@@ -816,7 +816,7 @@
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@@ -892,7 +892,7 @@
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@@ -930,7 +930,7 @@
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-      "\r",
+      "\r\n",
       "Training model...:  72%|██████████████████████████████████▌             | 72/100 [1:42:19<23:32, 50.44s/it]"
      ]
     },
@@ -1576,7 +1576,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  73%|███████████████████████████████████             | 73/100 [1:43:05<22:06, 49.12s/it]"
      ]
     },
@@ -1595,7 +1595,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  74%|███████████████████████████████████▌            | 74/100 [1:43:51<20:54, 48.24s/it]"
      ]
     },
@@ -1614,7 +1614,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  75%|████████████████████████████████████            | 75/100 [1:44:38<19:53, 47.73s/it]"
      ]
     },
@@ -1633,7 +1633,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  76%|████████████████████████████████████▍           | 76/100 [1:45:25<18:58, 47.45s/it]"
      ]
     },
@@ -1652,7 +1652,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  77%|████████████████████████████████████▉           | 77/100 [1:46:15<18:32, 48.38s/it]"
      ]
     },
@@ -1671,7 +1671,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  78%|███████████████████████████████████          | 78/100 [2:03:08<2:03:52, 337.83s/it]"
      ]
     },
@@ -1690,7 +1690,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  79%|███████████████████████████████████▌         | 79/100 [2:21:11<3:16:23, 561.12s/it]"
      ]
     },
@@ -1709,7 +1709,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  80%|████████████████████████████████████         | 80/100 [2:26:56<2:45:26, 496.31s/it]"
      ]
     },
@@ -1728,7 +1728,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  81%|████████████████████████████████████▍        | 81/100 [2:32:40<2:22:42, 450.67s/it]"
      ]
     },
@@ -1747,7 +1747,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  82%|████████████████████████████████████▉        | 82/100 [2:33:26<1:38:46, 329.24s/it]"
      ]
     },
@@ -1766,7 +1766,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  83%|█████████████████████████████████████▎       | 83/100 [2:39:10<1:34:32, 333.69s/it]"
      ]
     },
@@ -1785,7 +1785,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  84%|█████████████████████████████████████▊       | 84/100 [2:55:21<2:19:58, 524.89s/it]"
      ]
     },
@@ -1804,7 +1804,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  85%|██████████████████████████████████████▎      | 85/100 [3:11:28<2:44:22, 657.47s/it]"
      ]
     },
@@ -1823,7 +1823,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  86%|██████████████████████████████████████▋      | 86/100 [3:29:05<3:01:23, 777.36s/it]"
      ]
     },
@@ -1842,7 +1842,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  87%|███████████████████████████████████████▏     | 87/100 [3:45:40<3:02:34, 842.66s/it]"
      ]
     },
@@ -1861,7 +1861,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  88%|███████████████████████████████████████▌     | 88/100 [3:46:25<2:00:42, 603.57s/it]"
      ]
     },
@@ -1880,7 +1880,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  89%|████████████████████████████████████████     | 89/100 [3:47:11<1:19:58, 436.20s/it]"
      ]
     },
@@ -1899,7 +1899,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  90%|██████████████████████████████████████████▎    | 90/100 [3:47:57<53:10, 319.00s/it]"
      ]
     },
@@ -1918,7 +1918,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  91%|██████████████████████████████████████████▊    | 91/100 [3:48:43<35:35, 237.23s/it]"
      ]
     },
@@ -1937,7 +1937,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  92%|███████████████████████████████████████████▏   | 92/100 [3:49:29<23:59, 179.94s/it]"
      ]
     },
@@ -1956,7 +1956,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  93%|███████████████████████████████████████████▋   | 93/100 [3:50:16<16:19, 139.92s/it]"
      ]
     },
@@ -1975,7 +1975,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  94%|████████████████████████████████████████████▏  | 94/100 [3:51:02<11:11, 111.90s/it]"
      ]
     },
@@ -1994,7 +1994,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  95%|█████████████████████████████████████████████▌  | 95/100 [3:51:49<07:41, 92.29s/it]"
      ]
     },
@@ -2013,7 +2013,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  96%|██████████████████████████████████████████████  | 96/100 [3:52:35<05:14, 78.51s/it]"
      ]
     },
@@ -2032,7 +2032,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  97%|██████████████████████████████████████████████▌ | 97/100 [3:53:22<03:26, 68.89s/it]"
      ]
     },
@@ -2051,7 +2051,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  98%|███████████████████████████████████████████████ | 98/100 [3:54:09<02:04, 62.29s/it]"
      ]
     },
@@ -2070,7 +2070,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "Training model...:  99%|███████████████████████████████████████████████▌| 99/100 [3:54:55<00:57, 57.51s/it]"
      ]
     },