add random noise start

app.py

@@ -30,7 +30,9 @@ def mix_at_snr(clean, noise, snr, eps=1e-10):
     noise = torch.as_tensor(noise).mean(0, keepdim=True)
     if noise.shape[1] < clean.shape[1]:
         noise = noise.repeat((1, int(math.ceil(clean.shape[1] / noise.shape[1]))))
-    noise = noise[:, : clean.shape[1]]
+    max_start = int(noise.shape[1] - clean.shape[1])
+    start = torch.randint(0, max_start)
+    noise = noise[:, start : start + clean.shape[1]]
     E_speech = torch.mean(clean.pow(2)) + eps
     E_noise = torch.mean(noise.pow(2))
     K = torch.sqrt((E_noise / E_speech) * 10 ** (snr / 10) + eps)
@@ -64,9 +66,7 @@ inputs = [
     gradio.inputs.Audio(
         source="microphone,upload", type="filepath", optional=True, label="Speech"
     ),
-    gradio.inputs.Audio(
-        source="upload", type="filepath", optional=True, label="Noise"
-    ),
+    gradio.inputs.Audio(source="upload", type="filepath", optional=True, label="Noise"),
     gradio.inputs.Slider(minimum=-10, maximum=40, step=5, default=10),
 ]
 examples = [