How to use audio augmentations for audio classification
Hi, I am very new to hugging face and audio datasetsI have an audio dataset in a folder, which I loaded into the dataset.(Dataset({features: [‘audio’, ‘label’],num_rows: 50}),above “audio” is a dict with keys sampling_rate, path, arrayI am doing audio classification by using cast_column to Audio then used feature extractor and then finetuned the model. It works fine.I noticed there is a class imbalance, I used to work with image data generator which provides data augmentation and handles class by generating augmented samples.can we do something similar in huggingface dataset or how can I generate augmented data to handle low-number classes?Thanks.
2024-02-27T11:37:26Z
Hi, I have this question and I want to augment my audio dataset. Do you find answer for this question?If you have, I’d greatly appreciate it if you could share your findings or any progress you’ve made.
2024-03-08T19:39:41Z
same problem, could you find any solution?
2024-11-18T09:47:38Z
I am also interested in this. Registering my interest to let people know this topic is in demand.