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augment.py

@@ -1,22 +1,4 @@
 import torch
 
-def apply_white_noise(waveform, noise_level=0.008):
-    """Simulates outdoor wind and environmental microphone friction."""
-    noise = torch.randn_like(waveform) * noise_level
-    return waveform + noise
-
-def apply_room_echo(waveform, sample_rate=16000, delay_ms=60, decay=0.4):
-    """Emulates indoor wall reflection dynamics via frame delay buffers."""
-    delay_samples = int(sample_rate * (delay_ms / 1000.0))
-    if waveform.shape[-1] <= delay_samples:
-        return waveform
-    echo_signal = torch.zeros_like(waveform)
-    echo_signal[..., delay_samples:] = waveform[..., :-delay_samples] * decay
-    return waveform + echo_signal
-
-def apply_low_pass_filter(waveform, alpha=0.5):
-    """Clips high frequencies to stress-test against low-end mobile hardware."""
-    perturbed = waveform.clone()
-    for i in range(1, waveform.shape[-1]):
-        perturbed[..., i] = alpha * waveform[..., i] + (1 - alpha) * perturbed[..., i-1]
-    return perturbed
+def apply_white_noise(x):
+    return x + 0.005 * torch.randn_like(x)