TY - GEN
T1 - Composer classification based on temporal coding in adaptive spiking neural networks
AU - Chaitanya Prasad, N.
AU - Saboo, Krishnakant
AU - Rajendran, Bipin
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/28
Y1 - 2015/9/28
N2 - We develop a spiking neural network (SNN) based implementation of a feature based on melodic interval prevalence for composer classification of a musical composition. The network has an adaptive spike-time based weight update rule which accurately captures the classification feature. Compared to the non-neural network based baseline implementation, the SNN implementation has a performance of 95.4%. When the songs are corrupted by gaussian additive noise, the relative degradation in performance of our algorithm is lesser than what is observed in the baseline algorithm.We also demonstrate that the performance degradation of our algorithm is minimal over a wide range of perturbations in the internal parameters of our circuit, demonstrating the power of adaptive SNNs to perform complex discrimination tasks in a fault-tolerant manner.
AB - We develop a spiking neural network (SNN) based implementation of a feature based on melodic interval prevalence for composer classification of a musical composition. The network has an adaptive spike-time based weight update rule which accurately captures the classification feature. Compared to the non-neural network based baseline implementation, the SNN implementation has a performance of 95.4%. When the songs are corrupted by gaussian additive noise, the relative degradation in performance of our algorithm is lesser than what is observed in the baseline algorithm.We also demonstrate that the performance degradation of our algorithm is minimal over a wide range of perturbations in the internal parameters of our circuit, demonstrating the power of adaptive SNNs to perform complex discrimination tasks in a fault-tolerant manner.
KW - Artificial neural networks
UR - http://www.scopus.com/inward/record.url?scp=84951028195&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84951028195&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2015.7280816
DO - 10.1109/IJCNN.2015.7280816
M3 - Conference contribution
AN - SCOPUS:84951028195
T3 - Proceedings of the International Joint Conference on Neural Networks
BT - 2015 International Joint Conference on Neural Networks, IJCNN 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Joint Conference on Neural Networks, IJCNN 2015
Y2 - 12 July 2015 through 17 July 2015
ER -