🎵 Audio Manipulator

A Python-based audio processing application built with Streamlit. This tool allows users to visualize, analyze, and manipulate audio signals in real-time.

Developed as a coursework project for the Signals and Systems subject at Shri Ram Swaroop Memorial University (SRMU).

🚀 Features

• Waveform Visualization: Real-time plotting of audio signals in the time domain.
• Spectrogram Analysis: Visual representation of the spectrum of frequencies using Short-Time Fourier Transform (STFT).
• Audio Manipulation:
  • Change playback speed (Time Stretching).
  • Pitch shifting.
  • Noise reduction/filtering.
• File Support: Upload .wav, .mp3, or .flac files.
• Interactive UI: Simple and intuitive interface powered by Streamlit.

🛠️ Tech Stack

• Language: Python
• UI Framework: Streamlit
• Audio Processing: Librosa, SciPy
• Data Manipulation: NumPy, Pandas
• Visualization: Matplotlib, Plotly

⚙️ Installation

1. Clone the repository:

   git clone [https://github.com/Dannny-cell/Audio-Manipulator.git](https://github.com/Dannny-cell/Audio-Manipulator.git)
   cd Audio-Manipulator

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   streamlit run app.py

🤝 Contributing

This is an academic project, but suggestions are welcome!

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Commit your changes.
4. Push to the branch.
5. Open a Pull Request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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Author: [Dhananjay Jaiswal]
Institution: Shri Ram Swaroop Memorial University (SRMU)