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Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection


Recent advances in Voice Activity Detection (VAD) are driven by artificial and Recurrent Neural Networks (RNNs), however, using a VAD system in battery-operated devices requires further power efficiency. This can be achieved by neuromorphic hardware, which enables Spiking Neural Networks (SNNs) to perform inference at very low energy consumption. Spiking networks are characterized by their ability to process information efficiently, in a sparse cascade of binary events in time called spikes.

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Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar, Milos Cernak
Submitted On:
27 May 2020 - 8:49am
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[1] Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar, Milos Cernak, "Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5440. Accessed: Sep. 24, 2020.
@article{5440-20,
url = {http://sigport.org/5440},
author = {Flavio Martinelli; Giorgia Dellaferrera; Pablo Mainar; Milos Cernak },
publisher = {IEEE SigPort},
title = {Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection},
year = {2020} }
TY - EJOUR
T1 - Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection
AU - Flavio Martinelli; Giorgia Dellaferrera; Pablo Mainar; Milos Cernak
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5440
ER -
Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar, Milos Cernak. (2020). Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection. IEEE SigPort. http://sigport.org/5440
Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar, Milos Cernak, 2020. Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection. Available at: http://sigport.org/5440.
Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar, Milos Cernak. (2020). "Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection." Web.
1. Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar, Milos Cernak. Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5440