A FPGA Implementation of the CAR-FAC Cochlear Model

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Xu, Ying ; Thakur, Chetan S. ; Singh, Ram K. ; Hamilton, Tara Julia ; Wang, Runchun M. ; van Schaik, André (2018)
  • Publisher: Frontiers Media S.A.
  • Journal: Frontiers in Neuroscience, volume 12 (issn: 1662-4548, eissn: 1662-453X)
  • Related identifiers: doi: 10.3389/fnins.2018.00198, doi: 10.3389/fnins.2018.00198/full, pmc: PMC5902704
  • Subject: neuromorphic engineering | medial olivocochlear efferent | Neurosciences. Biological psychiatry. Neuropsychiatry | electronic cochlea | RC321-571 | Neuroscience | inner hair cell | basilar membrane | automatic gain control | outer hair cell | Original Research | FPGAs
    acm: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION

This paper presents a digital implementation of the Cascade of Asymmetric Resonators with Fast-Acting Compression (CAR-FAC) cochlear model. The CAR part simulates the basilar membrane's (BM) response to sound. The FAC part models the outer hair cell (OHC), the inner hair cell (IHC), and the medial olivocochlear efferent system functions. The FAC feeds back to the CAR by moving the poles and zeros of the CAR resonators automatically. We have implemented a 70-section, 44.1 kHz sampling rate CAR-FAC system on an Altera Cyclone V Field Programmable Gate Array (FPGA) with 18% ALM utilization by using time-multiplexing and pipeline parallelizing techniques and present measurement results here. The fully digital reconfigurable CAR-FAC system is stable, scalable, easy to use, and provides an excellent input stage to more complex machine hearing tasks such as sound localization, sound segregation, speech recognition, and so on.
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