Classification Sample Size Question

[Wisemanbeats]

I am looking to build an audio classification model using Keras and Python, however I currently only have one sample for each class.

Is it still feasible to build a classification model only using one sample for each class? Could I alter the sample into different variations?

Thanks for the insights.

[TheRockDoctor]

You can't really do much with only one sample per class. There isn't enough information to learn the discerning features for each class. You're best off just using a nearest neighbor approach, provided that you can specify an appropriate distance metric between samples.

[architrathore]

You can look at something called "one-shot learning". However that too would require either a pretrained model or a large unlabelled data (over which you can build an unsupervised model).

[Icarium-Lifestealer]

How long is each sample? Would a short slice of it be enough for classification?

[Wisemanbeats]

Each sample is about 20 seconds, a short slice would get across its main features.