diff --git a/MkvOpusEnc.py b/MkvOpusEnc.py
index 771a1c9..a782a40 100644
--- a/MkvOpusEnc.py
+++ b/MkvOpusEnc.py
@@ -15,38 +15,24 @@ import json
 import shutil
 import subprocess
 import sys
-import re # Import the regular expression module
 import tempfile
 from datetime import datetime
 from pathlib import Path
 
 class Tee:
-    """A file-like object that writes to multiple files and handles terminal-specific output."""
     def __init__(self, *files):
         self.files = files
-        # Identify which file objects are interactive terminals
-        self.terminals = [f for f in files if hasattr(f, 'isatty') and f.isatty()]
-
     def write(self, obj):
-        # For regular file writes (like logs), replace carriage returns with newlines
-        # to ensure each progress update is on a new line in the log file.
-        log_obj = obj.replace('\r', '\n').replace('\x1B[K', '')
-
         for f in self.files:
-            if f in self.terminals:
-                f.write(obj) # Write to terminal as-is
-            else:
-                # For log files, write the modified object.
-                f.write(log_obj)
+            f.write(obj)
             f.flush()
-
     def flush(self):
         for f in self.files:
             f.flush()
 
 def check_tools():
     """Checks if all required command-line tools are in the system's PATH."""
-    required_tools = ["ffmpeg", "ffprobe", "mkvmerge", "opusenc", "mediainfo"]
+    required_tools = ["ffmpeg", "ffprobe", "mkvmerge", "sox_ng", "opusenc", "mediainfo"]
     print("--- Prerequisite Check ---")
     all_found = True
     for tool in required_tools:
@@ -64,7 +50,7 @@ def run_cmd(args, capture_output=False, check=True):
 
 def convert_audio_track(stream_index, channels, temp_dir, source_file, should_downmix, bitrate_info):
     """Extracts, normalizes, and encodes a single audio track to Opus."""
-    temp_extracted = temp_dir / f"track_{stream_index}_extracted.flac" # This will be the input for loudnorm pass 1
+    temp_extracted = temp_dir / f"track_{stream_index}_extracted.flac"
     temp_normalized = temp_dir / f"track_{stream_index}_normalized.flac"
     final_opus = temp_dir / f"track_{stream_index}_final.opus"
 
@@ -92,63 +78,9 @@ def convert_audio_track(stream_index, channels, temp_dir, source_file, should_do
     ffmpeg_args.extend(["-c:a", "flac", str(temp_extracted)])
     run_cmd(ffmpeg_args)
 
-    # Step 2: Normalize the track with ffmpeg (loudnorm 2-pass)
-    print("    - Normalizing Audio Track with ffmpeg (loudnorm 2-pass)...")
-    # First pass: Analyze the audio to get loudnorm stats
-    # The stats are printed to stderr, so we must use subprocess.run directly to capture it.
-    print("      - Pass 1: Analyzing...")
-    
-    cmd = [
-        "ffmpeg", "-v", "error", "-stats", "-i", str(temp_extracted),
-        "-af", "loudnorm=I=-18:LRA=7:tp=-1:print_format=json", "-f", "null", "-"
-    ]
-    
-    # Use Popen to capture stderr in real-time and print it, while also buffering for JSON parsing.
-    process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, encoding='utf-8')
-    
-    # Read stderr and print progress updates. The Tee class now handles '\r' correctly.
-    stderr_output = ""
-    with process.stderr as pipe:
-        for line in iter(pipe.readline, ''):
-            stderr_output += line # Buffer the full output for parsing
-            # Print the line to stdout, clearing the line and using a carriage return.
-            # This will be handled by the Tee class.
-            sys.stdout.write(line.strip() + '\x1B[K\r')
-        # After the loop, read any remaining data (the JSON block)
-        stderr_output += pipe.read()
-    
-    process.wait() # Wait for the process to terminate
-    if process.returncode != 0:
-        raise subprocess.CalledProcessError(process.returncode, cmd, output=process.stdout.read(), stderr="".join(stderr_buffer))
-    
-    # Find the start of the JSON block in stderr and parse it.
-    # This is more robust than slicing the last N lines.
-    # We find the start and end of the JSON block to avoid parsing extra data.
-    json_start_index = stderr_output.find('{')
-    if json_start_index == -1:
-        raise ValueError("Could not find start of JSON block in ffmpeg output for loudnorm analysis.")
-
-    brace_level = 0
-    json_end_index = -1
-    for i, char in enumerate(stderr_output[json_start_index:]):
-        if char == '{':
-            brace_level += 1
-        elif char == '}':
-            brace_level -= 1
-            if brace_level == 0:
-                json_end_index = json_start_index + i + 1
-                break
-    
-    stats = json.loads(stderr_output[json_start_index:json_end_index])
-
-    # Second pass: Apply the normalization using the stats from the first pass. A final newline is needed.
-    # A print() is needed to move to the next line after the progress bar.
-    print("\n      - Pass 2: Applying normalization...")
-    run_cmd([
-        "ffmpeg", "-v", "quiet", "-stats", "-y", "-i", str(temp_extracted), "-af",
-        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']}",
-        "-c:a", "flac", str(temp_normalized)
-    ])
+    # Step 2: Normalize the track with SoX NG
+    print("    - Normalizing with SoX...")
+    run_cmd(["sox_ng", str(temp_extracted), str(temp_normalized), "-S", "--temp", str(temp_dir), "--guard", "gain", "-n"])
 
     # Step 3: Encode to Opus with the correct bitrate
     bitrate = "192k"  # Fallback