diff --git a/latentsync/whisper/whisper/audio.py b/latentsync/whisper/whisper/audio.py
index 6a1986d..8f49d88 100644
--- a/latentsync/whisper/whisper/audio.py
+++ b/latentsync/whisper/whisper/audio.py
@@ -21,32 +21,26 @@ N_FRAMES = exact_div(N_SAMPLES, HOP_LENGTH)  # 3000: number of frames in a mel s
 
 def load_audio(file: str, sr: int = SAMPLE_RATE):
     """
-    Open an audio file and read as mono waveform, resampling as necessary
-
-    Parameters
-    ----------
-    file: str
-        The audio file to open
-
-    sr: int
-        The sample rate to resample the audio if necessary
-
-    Returns
-    -------
-    A NumPy array containing the audio waveform, in float32 dtype.
+    Load an audio file and resample to 16kHz
     """
     try:
-        # This launches a subprocess to decode audio while down-mixing and resampling as necessary.
-        # Requires the ffmpeg CLI and `ffmpeg-python` package to be installed.
-        out, _ = (
-            ffmpeg.input(file, threads=0)
-            .output("-", format="s16le", acodec="pcm_s16le", ac=1, ar=sr)
-            .run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True)
-        )
-    except ffmpeg.Error as e:
-        raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e
-
-    return np.frombuffer(out, np.int16).flatten().astype(np.float32) / 32768.0
+        # Usa subprocess invece di ffmpeg-python
+        import subprocess
+        import numpy as np
+        
+        cmd = ['ffmpeg', '-i', file, '-f', 'f32le', '-ac', '1', '-ar', str(sr), '-']
+        proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+        stdout, stderr = proc.communicate()
+        
+        if proc.returncode != 0:
+            raise RuntimeError(f"Failed to load audio: {stderr.decode()}")
+            
+        audio = np.frombuffer(stdout, dtype=np.float32)
+        return audio
+        
+    except Exception as e:
+        print(f"Error loading audio: {str(e)}")
+        return None
 
 
 def pad_or_trim(array, length: int = N_SAMPLES, *, axis: int = -1):