Fine-Tuning HuBERT for Emotion Recognition in Custom Audio Data Using Huggingface

NLP for audio data is not getting enough recognition, compared to NLP for text and computer vision tasks. Emotion recognition -- recognize whether spoken audio exhibits anger, happiness, sadness, disgust, surprise, or neutral emotions. Note: Once we are through with the tutorial, you should be able to reuse the code for any audio classification task. For this tutorial, we will use the publicly available Crema-D dataset on Kaggle. So go ahead and click the Download button on this link.