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Live Demonstration: Event-Driven Real-Time Spoken Digit Recognition System


Anumula, Jithendar; Neil, Daniel; Li, Xiaoya; Delbruck, Tobi; Liu, Shih-Chii (2017). Live Demonstration: Event-Driven Real-Time Spoken Digit Recognition System. In: IEEE International Symposium on Circuits and Systems (ISCAS) 2017, Baltimore, USA, 29 May 2017 - 6 January 2017.

Abstract

Summary form only given. We previously described a deep network system that reached an accuracy of 82% on a digit recognition task using the spike outputs from a Dynamic Audio Sensor (DAS) in response to audio samples from the TIDIGITS database. The audio samples were played directly to the system therefore bypassing the microphones. This work presents an interactive real-time demonstration of this digit recognition system. The system classifies a spoken digit based on the output spikes of the DAS in response to digits spoken into the on-board microphones.

Abstract

Summary form only given. We previously described a deep network system that reached an accuracy of 82% on a digit recognition task using the spike outputs from a Dynamic Audio Sensor (DAS) in response to audio samples from the TIDIGITS database. The audio samples were played directly to the system therefore bypassing the microphones. This work presents an interactive real-time demonstration of this digit recognition system. The system classifies a spoken digit based on the output spikes of the DAS in response to digits spoken into the on-board microphones.

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Additional indexing

Item Type:Conference or Workshop Item (Other), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Event End Date:6 January 2017
Deposited On:23 Feb 2018 09:41
Last Modified:31 Jul 2018 05:11
Publisher:Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS) 2017
Series Name:Circuits and Systems (ISCAS), 2017 IEEE International Symposium on
OA Status:Closed
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1109/ISCAS.2017.8050394
Official URL:http://ieeexplore.ieee.org/document/8050394/

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