Divisive normalization method, device, audio feature extractor and a chip

Abstract

A divisive normalization method, device, audio feature extractor, and a chip are disclosed. For improving the robustness against variations of the background noise, the proposed per-channel divisive normalization method comprises: obtaining an average number of input spikes over an averaging window by a low-pass filter to produce a threshold parameter, then deciding whether to enable an integrate-and fire (IAF) counter counting over a clock period of a divisive normalization module, when the count value of IAF counter reaches the threshold, resetting IAF counter and producing a single spike at the output. Compared with the prior art, the proposed method does not require any Linear Feedback Shift Register (LFSR) and is easier to implement. It also has a simpler structure, higher accuracy and better statistical performance, and a lower cost and a lower power consumption.