Audio Data Augmentation: Essential Techniques for Robust Machine Learning Models

Data scientists know that data augmentation is an important technique to make the machine learning models they train more robust. While there are loads of resources for data augmentation with image data, it’s difficult to find material for audio augmentation In this new series, you can learn audio data augmentation from a theoretical and implementation perspectives. In the first installment of the series,you can learn: - what’s audio data augmentation - which use cases it can be fruitfully used for - the audio data augmentation golden rule Slides: https://github.com/musikalkemist/audioDataAugmentationTutorial/blob/main/1/Audio%20Data%20Augmentation%20Is%20All%20You%20Need.pdf ========================= Interested in hiring me as a consultant? https://valeriovelardo.com/ Join The Sound Of AI Slack community: https://valeriovelardo.com/the-sound-of-ai-community/ Connect with Valerio on Linkedin: https://www.linkedin.com/in/valeriovelardo/ Follow Valerio on Facebook: https://www.facebook.com/TheSoundOfAI Follow Valerio on Twitter: https://twitter.com/musikalkemist ========================= 0:00 Intro 0:47 What's data augmentation? 1:38 How does data augmentation work? 3:03 Why audio data augmentation is important 5:23 Use cases for audio data augmentation 7:37 Augmentation chains 8:56 What data should be augmented? 9:41 Offline vs online agumentation 13:23 The golden rule of data augmentation 14:52 Join the community! 15:31 What's next?