I have to accelerate the labelling process of a collection of sounds. To do so, I would like to build a representation from audio data and compute distances/find clusters. Do you know the most frequent representation used and/or the possible embedding techniques ?

Active learning is when the input of a labeler is asked during training to optimally deal with the model uncertainty. This approach is part of the general semi supervised tasks as it suggest to label iteratively a minimal number of new examples to train a model.