Audio data augmentation techniques

Audio data augmentation is a great solution to make your audio AI models more robust.

In my new video in the "Audio Data Augmentation" series, you can learn about augmentation techniques both in the raw audio and spectrogram domains.

Specifically, you’ll learn about:
📌 Time shifting
📌 Time stretching
📌 Pitch scaling
📌 Noise addition
📌 Impulse response addition
📌 Filters
📌 Polarity Inversion
📌 Random gain
📌 Time masking
📌 Frequency masking

Check out the video: https://www.youtube.com/watch?v=bm1cQfb_pLA&list=PL-wATfeyAMNoR4aqS-Fv0GRmS6bx5RtTW&index=3

audio augmentation data datascience