libyata 0.3.6

Yet Another Tools for Audio deep learning

yata[WIP]

Yet Another Tools for Audio deep learning(for myself).

pip install libyata

Usage

import yata

• data augmentation
  • mixup: paper code
  • SpecAugment: paper code
  • mp3 as augumentation，用MP3编码后去掉的不可听噪声，把这种生成不可听噪声作为数据增强的手段（做法：加高斯，把MP3当成一个mask去编码，把MP3mask挖掉的区域的高斯留下来加到频谱上面，形成不可听噪声）
  • phase putertubation
• feature extraction
  • PASE: paper code
  • Multi scale MelSpectrogram
• Tensorflow alternatives
  • yata.utils.HParams:
    An alternative to tf.contrib.training.HParams without Tensorflow dependency
  • yata.utils.to_categorical:
    An alternative to tf.keras.utils.to_categorical without Tensorflow & keras dependency
• handy tools
  • yata.utils.new_dir:
    Make directory like this ./file_a/tag/1/ with:

    new_dir("file_a", "tag", 1)
    

  • yata.utils.backup_code:
    Backup all your *.py(optional) to a zip file, eg. backup code for every experiments before running.
  • yata.utils.get_current_date: Get date as string