1. Augment a **single file** into a dataset. 2. Train an ASR model on the resulting dataset. 3. Test the ASR model on another dataset. Key question: what's the best accuracy achievable from a single file augmentation in this way?
Key question: what's the best accuracy achievable from a single file augmentation in this way?