Neuromorphic machine learning for audio processing : from bio-inspiration to biomedical applications

Abstract

The recent success of Deep Neural Networks (DNN) has renewed interest in machine learning and, in particular, bio-inspired machine learning algorithms. DNN refers to neural networks with multiple layers (typically two or more) where the neurons are interconnected using tunable weights. Although these architectures are not new, availability of massive amount of data, huge computing power and new training techniques have led to its great success in recent times. DNN has been applied to a variety of fields such as image classification, face recognition in images, word recognition in