CAR-Lite: a multi-rate cochlear model on FPGA for spike-based sound encoding

Ram Kuber Singh*, Ying Xu, Runchun Wang, Tara Julia Hamilton, Susan L. Denham, André van Schaik

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Filters in cochlear models use different coefficients to break sound into a 2-D time-frequency representation. On digital hardware with a single sampling rate, the number of bits required to represent these coefficients requires substantial computational resources such as memory storage. In this paper, we present a cochlear model operating at multiple sampling rates. As a result, fewer bits are required to represent filter coefficients on hardware as opposed to all the filters operating at a single sampling rate; with a 108-filter cochlear implementation, up to nine times fewer coefficients are needed. We present an implementation of this model in Matlab and on an Altera Cyclone V field-programmable gate array. We also demonstrate the capability of our model to encode sound at various intensity levels and with real-world signals.

Original languageEnglish
Pages (from-to)1805-1817
Number of pages13
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Issue number5
Publication statusPublished - May 2019

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