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augment.py

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+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