:bell: pydiogment

pydiogment aims to simplify audio augmentation. It generates multiple audio files based on a starting mono audio file. The library can generates files with higher speed, slower, and different tones etc.

:inbox_tray: Installation

Dependencies

pydiogment requires:

• Python (>= 3.5)

• NumPy (>= 1.17.2) pip install numpy

• SciPy (>= 1.3.1) pip install scipy

• FFmpeg sudo apt install ffmpeg

Installation

If you already have a working installation of numpy and scipy, you can simply install pydiogment using pip:

pip install -U pydiogment

:bulb: How to use

• Amplitude related augmentation

  • Apply a fade in and fade out effect

    from pydiogment.auga import fade_in_and_out
    
    test_file = "path/test.wav"
    fade_in_and_out(test_file)
    

  • Apply gain to file

    from pydiogment.auga import apply_gain
    
    test_file = "path/test.wav"
    apply_gain(test_file, -100)
    apply_gain(test_file, -50)
    

  • Add Random Gaussian Noise based on SNR to file

    from pydiogment.auga import add_noise
    
    test_file = "path/test.wav"
    add_noise(test_file, 10)
    

• Frequency related augmentation

  • Change file tone

    from pydiogment.augf import change_tone
    
    test_file = "path/test.wav"
    change_tone(test_file, 0.9)
    change_tone(test_file, 1.1)
    

• Time related augmentation

  • Slow-down/ speed-up file

    from pydiogment.augt import slowdown, speed
    
    test_file = "path/test.wav"
    slowdown(test_file, coefficient=0.8)
    speed(test_file, coefficient=1.2)
    

  • Apply random cropping to the file

    from pydiogment.augt import random_cropping
    
    test_file = "path/test.wav"
    random_cropping(test_file, 1)
    

  • Change shift data on the time axis in a certain direction

    from pydiogment.augt import shift_time
    
    test_file = "path/test.wav"
    shift_time(test_file, 1,"right")
    shift_time(test_file, 1,"left")
    

:bookmark_tabs: Documentation

A thorough documentation of the library is available under pydiogment.readthedocs.io.

:construction_worker: Contributing

Contributions are welcome and encouraged. To learn more about how to contribute to pydiogment please refer to the Contributing guidelines

:tada: Acknowledgment and credits

• The test file used in the pytests is OSR_us_000_0060_8k.wav from the Open Speech Repository.