Live Demonstration: Audio Inference using Neuromorphic Cochlea on RAMAN Accelerator

Krishna, A and Oleti, HP and Chauhan, A and Shankaranarayanan, H and Van Schaik, A and Mehendale, M and Singh Thakur, C (2023) Live Demonstration: Audio Inference using Neuromorphic Cochlea on RAMAN Accelerator. In: UNSPECIFIED.

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Abstract

The setup includes a host PC, microphone, and FPGA board. The CAR model and RAMAN are implemented on the FPGA, while the maze game and cochleagram visualization software run on the PC. The microphone captures sound from its surrounding environment and transmits the audio data to the FPGA bit-by-bit. The I 2 S (Inter-IC Sound) module combines this data into 16-bit audio samples and forwards it to the CAR model. The output from the CAR model is then fed into RAMAN. The outputs from the CAR model and RAMAN are transferred to the host PC via Arduino Nano 33 BLE to control the maze game. © 2023 IEEE.

Item Type:	Conference Paper
Publication:	BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	17 May 2024 04:02
Last Modified:	17 May 2024 04:02
URI:	https://eprints.iisc.ac.in/id/eprint/84542

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