An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks

Understand

Auditory front-end is an integral part of a spiking neural network (SNN) when performing auditory cognitive tasks.

• It encodes the temporal dynamic stimulus, such as speech and audio, into an efficient, effective and reconstructable spike pattern to facilitate the subsequent processing.
• However, most of the auditory front-ends in current studies have not made use of recent findings in psychoacoustics and physiology concerning human listening.
• In this paper, we propose a neural encoding and decoding scheme that is optimized for speech processing.