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This tool is useful for audio analysis, signal processing, and frequency domain analysis.\n\n## Features\n\n- **Audio Recording:** Record audio from the microphone and save it as a WAV file.\n- **Frequency Analysis:** Convert the recorded audio to the frequency domain using FFT (Fast Fourier Transform).\n- **Frequency Data Storage:** Save detected frequencies to a text file for further analysis.\n\n## Requirements\n\n- Python 3.6 or higher\n- `pyaudio` for audio recording\n- `numpy` for numerical operations\n- `scipy` for FFT computation\n- `keyboard` for capturing keyboard events\n\nYou can install the required Python libraries using pip:\n\n```bash\npip install pyaudio numpy scipy keyboard\n```\n\n## Usage\n\n1. **Start Recording:**\n   - Run the script.\n   - Press `1` to start recording audio.\n   - Press `0` to stop recording.\n\n2. **Frequency Analysis:**\n   - Once recording is stopped, the script will automatically analyze the frequency components of the recorded audio.\n   - The detected frequencies will be saved in `frequency/tape.txt`.\n\n3. **Quit Program:**\n   - Press `q` to exit the program.\n\n## File Structure\n\n- `playback/output.wav`: Contains the recorded audio data.\n- `frequency/tape.txt`: Contains the analyzed frequency data in Hz.\n\n## Running the Program\n\nTo run the program, execute the following command in your terminal:\n\n```bash\npython main.py\n```\n\n## License\n\nThis project is licensed under the MIT License.\n\n## Contributing\n\nIf you want to contribute to this project, feel free to open an issue or submit a pull request on GitHub.\n\n## Contact\n\nFor any questions or suggestions, please contact [support@jmmentertainment.com](mailto:support@jmmentertainment.com).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnomadsdev%2Ffrequency-insight","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnomadsdev%2Ffrequency-insight","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnomadsdev%2Ffrequency-insight/lists"}