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Audio Augmentation Tools for Machine Learning

This script provides a set of audio augmentations for machine learning purposes, in particular useful for the RAVE model https://github.com/acids-ircam/RAVE . It allows you to process audio files by changing their speed, resampling, splitting stereo files into mono, adding silence, and creating chunks.

Features

  • Change speed of the audio file
  • Resample the audio file
  • Split stereo files into mono
  • Add silence to the audio file
  • Create chunks of the audio file

Requirements

  • Python 3.6 or higher
  • NumPy
  • SoundFile
  • Resampy

To install the required packages, you can run:

pip install numpy soundfile resampy

Usage

To use this script, run it from the command line with the following arguments:

python augment_audio_speed.py <input_folder> <output_folder> [--chunk_duration] [--split_stereo] [--add_silence] [--speed_change]
  • input_folder: Path to the input folder containing audio files
  • output_folder: Path to the output folder for processed files
  • --chunk_duration: (optional) Duration of each chunk in seconds (default: 30 seconds)
  • --split_stereo: (optional) Split stereo files into two mono files
  • --add_silence: (optional) Length of silence in seconds added to the end of each sound file
  • --speed_change: (optional) Speed change factor 0.0-0.9 (default: 0.0, no change)

Example:

python augment_audio_speed.py input_folder output_folder --chunk_duration 30 --split_stereo --add_silence 1.5 --speed_change 0.1

This will process all supported audio files in the input_folder and save the processed files to the output_folder with specified augmentations.

Supported Audio Formats

The script supports the following audio file formats:

  • .wav
  • .flac
  • .ogg
  • .aiff
  • .mp3