[P] Implementation of audio data augmentation in Python

I’ve published a new video in the “Audio #DataAugmentation” series.

The previous videos tackled the theoretical aspects of #Audio augmentation. In the new video, we switch to implementation.

You can learn how to implement 5 important audio augmentation techniques in Python, which all good #AI #audio engineer should know:

📌 Noise addition (from scratch)

📌 Time stretching (using librosa)

📌 Pitch scaling (using librosa)

📌 Polarity inversion (from scratch)

📌 Random gain (from scratch)

Have fun!

Video: https://www.youtube.com/watch?v=umAXGVzVvwQ&list=PL-wATfeyAMNoR4aqS-Fv0GRmS6bx5RtTW&index=3

audio augmentation data implementation machinelearning python