Create Models/audio_expert.py

Models/audio_expert.py

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+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+class AudioExpert(nn.Module):
+    def __init__(self):
+        super(AudioExpert, self).__init__()
+        self.rnn = nn.LSTM(input_size=40, hidden_size=128, num_layers=2, batch_first=True)
+        self.fc1 = nn.Linear(128, 128)
+
+    def forward(self, x):
+        h0 = torch.zeros(2, x.size(0), 128).to(x.device)
+        c0 = torch.zeros(2, x.size(0), 128).to(x.device)
+        x, _ = self.rnn(x, (h0, c0))
+        x = F.relu(self.fc1(x[:, -1, :]))
+        return x