Dear MXNet Community, I recently started looking into performing some simple sound multi-class classification tasks with Audio Data and realized that as a user, I would like MXNet to have an out of the box feature which allows us to load audio data(at least 1 file format), extract features( or apply some common transforms/feature extraction) and train a model using the Audio Dataset. This could be a first step towards building and supporting APIs similar to what we have for "vision" related use cases in MXNet.
Below is the design proposal : Gluon - Audio Design Proposal <https://cwiki.apache.org/confluence/display/MXNET/Gluon+-+Audio> I would highly appreciate your taking time to review and provide feedback, comments/suggestions on this. Looking forward to your support. Best Regards, Gaurav Gireesh
