TY - GEN
T1 - On classification of environmental acoustic data using crowds
AU - Zhang, Shan
AU - Vempaty, Aditya
AU - Parks, Susan E.
AU - Varshney, Pramod K.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/16
Y1 - 2017/6/16
N2 - In this work, we use crowds for acoustic classification of animal species in supervised and unsupervised manners. We demonstrate the effectiveness of the proposed triplet based crowdsourcing systems via actual experiments. Moreover, we propose a generalized 1-bit RPCA algorithm to further improve classification performance. The unique marriage of crowdsourcing and generalized 1-bit RPCA algorithm is shown to yield excellent performance for acoustic data classification.
AB - In this work, we use crowds for acoustic classification of animal species in supervised and unsupervised manners. We demonstrate the effectiveness of the proposed triplet based crowdsourcing systems via actual experiments. Moreover, we propose a generalized 1-bit RPCA algorithm to further improve classification performance. The unique marriage of crowdsourcing and generalized 1-bit RPCA algorithm is shown to yield excellent performance for acoustic data classification.
KW - acoustic data classification
KW - animal specie classification
KW - crowdsourcing
KW - generalized 1-bit RPCA
UR - http://www.scopus.com/inward/record.url?scp=85023762275&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85023762275&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2017.7953284
DO - 10.1109/ICASSP.2017.7953284
M3 - Conference contribution
AN - SCOPUS:85023762275
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 5880
EP - 5884
BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Y2 - 5 March 2017 through 9 March 2017
ER -