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- W4320495815 abstract "This paper presents a reconfigurable digital implementation of an event-based binaural cochlear system on a Field Programmable Gate Array (FPGA). It consists of a pair of the Cascade of Asymmetric Resonators with Fast Acting Compression (CAR FAC) cochlea models and leaky integrate and fire (LIF) neurons. Additionally, we propose an event-driven SpectroTemporal Receptive Field (STRF) Feature Extraction using Adaptive Selection Thresholds (FEAST). It is tested on the TIDIGTIS benchmark and compared with current event-based auditory signal processing approaches and neural networks." @default.
- W4320495815 created "2023-02-14" @default.
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- W4320495815 date "2022-12-14" @default.
- W4320495815 modified "2023-09-27" @default.
- W4320495815 title "Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model" @default.
- W4320495815 doi "https://doi.org/10.48550/arxiv.2212.07136" @default.
- W4320495815 hasPublicationYear "2022" @default.
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