Speech recognition with spiking neurons and dynamic synapses: a model motivated by the human auditory pathway

摘要

We present a biologically motivated system for auditory signal processing and speech perception. In a novel approach, a model of the human cochlea is combined with a network of spiking neurons and dynamic synapses. The cochlea model continuously transforms the raw acoustic waveforms to multi-channel spike patterns. The frequency and temporal information is thereby coded similar to the auditory nerve. A network of spiking neurons and dynamic synapses is able to learn these spatio-temporal patterns by establishing characteristic delay structures in its connections due to synaptic plasticity.