Metadata-Version: 2.1
Name: AudioAugment
Version: 0.0.3
Summary: Audio data augmentation tool for machine learning projects
Home-page: https://github.com/wesleyLaurence/Audio-Augment
Author: Wesley Laurence
Author-email: wesleylaurencetech@gmail.com
License: UNKNOWN
Description: # Audio-Augment
        #### Audio data augmentation tool for machine learning projects
        This library augments audio training datasets by transforming provided WAV files in 10 different ways:
                
          1. Waveform Inversion
          2. Highpass Filter
          3. Lowpass Filter
          4. Bandpass Filter
          5. Add noise (normal, uniform)
          6. Pitch shift (low, high)
          7. Time shift (slow, fast)
           
        ## Directory Setup
        Create two folders in your current working directory, one called `unprocessed` and another called `processed`.
        Place all audio samples that you want to transform in the unprocessed folder (must be WAV format). 
        Run this method and it will transform all audio files in your unprocessed folder, 
        and save the new set of augmented samples in the processed folder.
        
        ## Requirements
        - numpy
        - pandas
        - matplotlib
        - soundfile
        - librosa
        
                For questions about this library, email wesleylaurencetech@gmail.com
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
