A new audio analysis model, EFAM, significantly enhances the ability of machines to detect and distinguish everyday sounds in recordings, overcoming the challenges posed by overlapping events and ...

Sound Event Detection (SED) is a crucial area of research in audio processing, focused on identifying specific sound events and their corresponding timestamps within continuous audio streams. However, ...

What is this paper about? Machine learning methods are in principle capable to detect and distinguish between different sounds. This is called Sound Event Classification and usually relies on audio ...