Audio augmentation libraries
There are many commercial and open source audio data augmentation libraries. In this chapter, we will focus on open source libraries available on GitHub. Some libraries are more robust than others, and some focus on a particular subject, such as human speech. Pluto will write wrapper functions using the libraries provided to do the heavy lifting; thus, you can select more than one library in your project. If a library is implemented in the CPU, it may not be suitable for dynamic data augmenting during the ML training cycle because it will slow down the process. Instead, choose a library that can run on the GPU. Choose a robust and easy-to-implement library to learn new audio augmentation techniques or output the augmented data on local or cloud disk space.
The well-known open source libraries for audio augmentation are as follows:
- Librosa is an open source Python library for music and audio analysis. It was made available in 2015 and has long...
