Audio Noise Reducer

A web-based application that reduces background noise from audio files using spectral noise reduction techniques. The application provides a user-friendly interface for uploading audio files, adjusting noise reduction parameters, and downloading the processed results.

Features

• Upload audio files in multiple formats (WAV, MP3, OGG, FLAC, M4A)
• Adjustable noise reduction strength (0.1 - 6.0)
• Real-time processing progress indication
• Audio preview player with playback controls
• Multiple output format options (WAV, MP3, OGG, FLAC)
• Download processed audio files

Prerequisites

• Python 3.7+
• FFmpeg installed on the system
• Web browser with HTML5 audio support

Installation

1. Clone the repository:

git clone [https://github.com/arvind-git-code/noise_remover-webapp.git](https://github.com/arvind-git-code/noise_remover-webapp.git)
cd audio-noise-reducer

2. Create and activate a virtual environment (recommended):

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install the required Python packages:

pip install -r requirements.txt

4. Install FFmpeg:

• Ubuntu/Debian:

  sudo apt-get update
  sudo apt-get install ffmpeg

• Windows: Download from FFmpeg website
• macOS:

  brew install ffmpeg

Configuration

1. Create an uploads directory in the project root:

mkdir uploads

2. (Optional) Adjust the following settings in app.py:

• MAX_CONTENT_LENGTH: Maximum upload file size (default: 500MB)
• SECRET_KEY: Flask application secret key
• Server host and port in app.run()

Usage

1. Start the Flask server:

python app.py

2. Open a web browser and navigate to:

http://localhost:5000

3. Using the application:
   • Click "Choose File" to select an audio file
   • Adjust the noise reduction strength slider (higher values = stronger reduction)
   • Select desired output format
   • Click "Process Audio" to start noise reduction
   • Wait for processing to complete
   • Preview the processed audio using the built-in player
   • Click "Download" to save the processed file

Technical Details

Noise Reduction Algorithm

The application uses the Short-Time Fourier Transform (STFT) for spectral noise reduction:

1. Converts audio to frequency domain using STFT
2. Estimates noise profile from the first few frames
3. Creates and applies a spectral subtraction mask
4. Smooths the mask using median filtering
5. Converts back to time domain using inverse STFT

File Processing

• Input files are automatically converted to WAV format for processing
• Supports mono and stereo audio (stereo is converted to mono)
• Audio is normalized before processing
• Processed files are converted to the selected output format using FFmpeg

API Endpoints

• GET /: Main application interface
• POST /upload: Upload and process audio file
• GET /status/<task_id>: Get processing status
• GET /download/<task_id>: Download processed file

Error Handling

• Invalid file types are rejected
• Processing errors are displayed in the UI
• Failed tasks are automatically cleaned up
• Temporary files are removed after processing

Security Features

• Secure filename handling
• File type validation
• Maximum file size limit
• CORS support for API access

Browser Compatibility

Tested and supported on:

• Chrome 80+
• Firefox 75+
• Safari 13+
• Edge 80+

Known Limitations

• Large files may take significant time to process
• Processing is CPU-intensive
• Memory usage scales with file size
• Browser audio preview may not support all formats

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

Connect with me

• Name: Arvind Kumar
• LinkedIn: LinkedIn Profile URL
• Email: Email

License

Feel free to use anywhere

Acknowledgments

• FFmpeg for audio format conversion
• SciPy for signal processing
• Flask for web framework