bug fix and adjustment of LUFS to -18 for better dynamic range
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@@ -83,17 +83,33 @@ def convert_audio_track(stream_index, channels, temp_dir, source_file, should_do
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# First pass: Analyze the audio to get loudnorm stats
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print(" - Pass 1: Analyzing...")
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result = subprocess.run(
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["ffmpeg", "-v", "info", "-i", str(temp_extracted), "-af", "loudnorm=I=-14:LRA=7:tp=-1:print_format=json", "-f", "null", "-"],
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["ffmpeg", "-v", "info", "-i", str(temp_extracted), "-af", "loudnorm=I=-18:LRA=7:tp=-1:print_format=json", "-f", "null", "-"],
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capture_output=True, text=True, check=True)
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stats_lines = result.stderr.strip().split('\n')
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stats_json_str = "".join(stats_lines[-12:]) # The JSON block is the last 12 lines
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stats = json.loads(stats_json_str)
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# Find the start and end of the JSON block to avoid parsing extra data.
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stderr_output = result.stderr
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json_start_index = stderr_output.find('{')
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if json_start_index == -1:
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raise ValueError("Could not find start of JSON block in ffmpeg output for loudnorm analysis.")
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brace_level = 0
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json_end_index = -1
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for i, char in enumerate(stderr_output[json_start_index:]):
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if char == '{':
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brace_level += 1
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elif char == '}':
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brace_level -= 1
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if brace_level == 0:
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json_end_index = json_start_index + i + 1
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break
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stats = json.loads(stderr_output[json_start_index:json_end_index])
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# Second pass: Apply the normalization using the stats from the first pass
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print(" - Pass 2: Applying normalization...")
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run_cmd([
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"ffmpeg", "-v", "quiet", "-stats", "-y", "-i", str(temp_extracted), "-af",
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f"loudnorm=I=-14:LRA=7:tp=-1:measured_i={stats['input_i']}:measured_lra={stats['input_lra']}:measured_tp={stats['input_tp']}:measured_thresh={stats['input_thresh']}:offset={stats['target_offset']}",
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f"loudnorm=I=-18:LRA=7:tp=-1:measured_i={stats['input_i']}:measured_lra={stats['input_lra']}:measured_tp={stats['input_tp']}:measured_thresh={stats['input_thresh']}:offset={stats['target_offset']}",
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"-c:a", "flac", str(temp_normalized)
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])
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@@ -72,21 +72,35 @@ def convert_audio_track(index, ch, lang, audio_temp_dir, source_file, should_dow
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# The stats are printed to stderr, so we must use subprocess.run directly to capture it.
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print(" - Pass 1: Analyzing...")
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result = subprocess.run(
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["ffmpeg", "-v", "info", "-i", str(temp_extracted), "-af", "loudnorm=I=-14:LRA=7:tp=-1:print_format=json", "-f", "null", "-"],
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["ffmpeg", "-v", "info", "-i", str(temp_extracted), "-af", "loudnorm=I=-18:LRA=7:tp=-1:print_format=json", "-f", "null", "-"],
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capture_output=True, text=True, check=True)
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# Find the start of the JSON block in stderr and parse it.
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# This is more robust than slicing the last N lines.
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# We find the start and end of the JSON block to avoid parsing extra data.
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stderr_output = result.stderr
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json_start_index = stderr_output.find('{')
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stats_json_str = stderr_output[json_start_index:]
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stats = json.loads(stats_json_str)
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if json_start_index == -1:
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raise ValueError("Could not find start of JSON block in ffmpeg output for loudnorm analysis.")
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brace_level = 0
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json_end_index = -1
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for i, char in enumerate(stderr_output[json_start_index:]):
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if char == '{':
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brace_level += 1
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elif char == '}':
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brace_level -= 1
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if brace_level == 0:
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json_end_index = json_start_index + i + 1
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break
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stats = json.loads(stderr_output[json_start_index:json_end_index])
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# Second pass: Apply the normalization using the stats from the first pass
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print(" - Pass 2: Applying normalization...")
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run_cmd([
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"ffmpeg", "-v", "quiet", "-stats", "-y", "-i", str(temp_extracted), "-af",
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f"loudnorm=I=-14:LRA=7:tp=-1:measured_i={stats['input_i']}:measured_lra={stats['input_lra']}:measured_tp={stats['input_tp']}:measured_thresh={stats['input_thresh']}:offset={stats['target_offset']}",
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f"loudnorm=I=-18:LRA=7:tp=-1:measured_i={stats['input_i']}:measured_lra={stats['input_lra']}:measured_tp={stats['input_tp']}:measured_thresh={stats['input_thresh']}:offset={stats['target_offset']}",
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"-c:a", "flac", str(temp_normalized)
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])
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