Jon Nordby

Python is the standard solution for many machine learning and data science applications, from large cloud systems, to workstations, and even on larger embedded or robotics systems. But as we move down into more constrained environments regular (C)Python starts to be a less good fit.

It the recent year, generative AI models have come to dominate the discourse around artificial intelligence and machine learning. Both Large Language Models and other generative models for image/video/sound use huge deep learning models, running on expensive and energy intensive GPUs.

Sound Events (or Audio Events or Acoustic Events) are individual distinct sounds. This could be the pop of roasting popcorn kernels, the cough of a patient, a car that is passing by on a road, or the sound of an alarm in an office building.

Sound is a rich source of information about the world around us. Modern deep learning approaches can give human-like performance on a range of sound classifiction tasks.