Live demonstration : audio inference using neuromorphic cochlea on RAMAN accelerator

Adithya Krishna; Hitesh Pavan Oleti; Anand Chauhan; H. Shankaranarayanan; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur

doi:10.1109/BioCAS58349.2023.10389100

Live demonstration : audio inference using neuromorphic cochlea on RAMAN accelerator

Adithya Krishna, Hitesh Pavan Oleti, Anand Chauhan, H. Shankaranarayanan, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

![CDATA[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.]]

Original language	English
Title of host publication	Proceedings of the 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS 2023), October 19-21, 2023, Toronto, Canada
Publisher	IEEE
Number of pages	1
ISBN (Print)	9798350300260
DOIs	https://doi.org/10.1109/BioCAS58349.2023.10389100
Publication status	Published - 2023
Event	Biomedical Circuits and Systems Conference - Duration: 19 Oct 2023 → …

Conference

Conference	Biomedical Circuits and Systems Conference
Period	19/10/23 → …

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10.1109/BioCAS58349.2023.10389100

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Krishna, A., Oleti, H. P., Chauhan, A., Shankaranarayanan, H., Schaik, A. V., Mehendale, M., & Thakur, C. S. (2023). Live demonstration : audio inference using neuromorphic cochlea on RAMAN accelerator. In Proceedings of the 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS 2023), October 19-21, 2023, Toronto, Canada IEEE. https://doi.org/10.1109/BioCAS58349.2023.10389100

@inproceedings{371c481a93be4ddaaa718da856b23766,

title = "Live demonstration : audio inference using neuromorphic cochlea on RAMAN accelerator",

abstract = "![CDATA[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.]]",

author = "Adithya Krishna and Oleti, {Hitesh Pavan} and Anand Chauhan and H. Shankaranarayanan and Schaik, {Andr{\'e} van} and Mahesh Mehendale and Thakur, {Chetan Singh}",

year = "2023",

doi = "10.1109/BioCAS58349.2023.10389100",

language = "English",

isbn = "9798350300260",

booktitle = "Proceedings of the 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS 2023), October 19-21, 2023, Toronto, Canada",

publisher = "IEEE",

note = "Biomedical Circuits and Systems Conference ; Conference date: 19-10-2023",

}

Krishna, A, Oleti, HP, Chauhan, A, Shankaranarayanan, H, Schaik, AV, Mehendale, M & Thakur, CS 2023, Live demonstration : audio inference using neuromorphic cochlea on RAMAN accelerator. in Proceedings of the 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS 2023), October 19-21, 2023, Toronto, Canada. IEEE, Biomedical Circuits and Systems Conference, 19/10/23. https://doi.org/10.1109/BioCAS58349.2023.10389100

Live demonstration : audio inference using neuromorphic cochlea on RAMAN accelerator. / Krishna, Adithya; Oleti, Hitesh Pavan; Chauhan, Anand et al.
Proceedings of the 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS 2023), October 19-21, 2023, Toronto, Canada. IEEE, 2023.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Live demonstration : audio inference using neuromorphic cochlea on RAMAN accelerator

AU - Krishna, Adithya

AU - Oleti, Hitesh Pavan

AU - Chauhan, Anand

AU - Shankaranarayanan, H.

AU - Schaik, André van

AU - Mehendale, Mahesh

AU - Thakur, Chetan Singh

PY - 2023

Y1 - 2023

N2 - ![CDATA[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.]]

AB - ![CDATA[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.]]

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DO - 10.1109/BioCAS58349.2023.10389100

M3 - Conference Paper

SN - 9798350300260

BT - Proceedings of the 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS 2023), October 19-21, 2023, Toronto, Canada

PB - IEEE

T2 - Biomedical Circuits and Systems Conference

Y2 - 19 October 2023

ER -

Live demonstration : audio inference using neuromorphic cochlea on RAMAN accelerator

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