What are the best practices for audio data augmentation?

What are the best practices for audio data augmentation?

Some best practices include using techniques like time stretching, pitch shifting, and adding noise to enhance your dataset.

How do I implement time stretching effectively?

To implement time stretching effectively, use algorithms that maintain audio quality, like phase vocoder or granular synthesis.

Can you give examples of when to use pitch shifting?

Pitch shifting is useful when you want to create variations of a sound without altering its duration, like in music production.

What types of noise should I add for augmentation?

You can add background noise, white noise, or environmental sounds to simulate real-world conditions and improve model robustness.