Update denoiser.py

denoiser.py

@@ -103,7 +103,14 @@ class Denoiser:
         #    Applied BEFORE denoising for best results
         #    Cuts electrical hum, fan/AC vibration, traffic rumble
         #    Voice clarity is at 300-3400Hz — not affected at all
-        mono = self._highpass_filter(mono, sr, cutoff_hz=200)
+        mono = self._highpass_filter(mono, sr, cutoff_hz=100)
+
+        # ── 2b. Clip protection — normalize if signal is clipping ──
+        #     Clipping causes distortion and ruins all downstream steps
+        peak = np.max(np.abs(mono))
+        if peak > 0.95:
+            mono = mono * (0.95 / peak)
+            print(f"[Denoiser] ⚠️  Clipping detected (peak={peak:.3f}) — normalized to 0.95")
 
         # ── 3. Background Noise Removal ──────────────────────────────
         mono, noise_method = self._remove_background_noise(mono, sr)
@@ -205,7 +212,7 @@ class Denoiser:
     # HIGH-PASS FILTER — removes low-frequency hum/rumble
     # ══════════════════════════════════════════════════════════════════
     def _highpass_filter(self, audio: np.ndarray, sr: int,
-                          cutoff_hz: float = 200) -> np.ndarray:
+                          cutoff_hz: float = 100) -> np.ndarray:
         """
         High-pass filter to remove low-frequency noise:
         - Electrical hum (50/60 Hz and harmonics at 100-300 Hz)
@@ -574,7 +581,8 @@ class Denoiser:
             if rms > 1e-9:
                 target_rms = 10 ** (TARGET_LOUDNESS / 20.0)  # ≈ 0.126
                 audio = audio * (target_rms / rms)            # correct ratio
-        return np.clip(audio, -1.0, 1.0).astype(np.float32)
+        # Clip to safe range — never let signal exceed 0.99
+        return np.clip(audio, -0.99, 0.99).astype(np.float32)
 
     # ══════════════════════════════════════════════════════════════════
     # HELPERS