Listen to What You Want: Neural Network-based Universal Sound Selector

Understand

Being able to control the acoustic events (AEs) to which we want to listen would allow the development of more controllable hearable devices.

• This paper addresses the AE sound selection (or removal) problems, that we define as the extraction (or suppression) of all the sounds that belong to one or multiple desired AE classes.
• Although this problem could be addressed with a combination of source separation followed by AE classification, this is a sub-optimal way of solving the problem.
• Moreover, source separation usually requires knowing the maximum number of sources, which may not be practical when dealing with AEs.