TY - GEN
T1 - Convolutional Recurrent Neural Network-Based Boat Detection Method for Wind Noise Condition
AU - Niwayama, Kohei
AU - Muto, Kenji
AU - Kobayashi, Yosuke
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - We have been working on boat detection from environmental sound using a convolutional neural network (CNN). However, it had a problem with accuracy degrading when strong winds blew. In this study, we propose a method for boat detection using deep learning from environmental sound in strong wind conditions. Our proposal method was boat detection via convolutional recurrent neural network using the difference in duration between the boat and wind noise as a cue. The improvement of the proposed method was 0.03 points higher on the average of F-measure than the CNN.
AB - We have been working on boat detection from environmental sound using a convolutional neural network (CNN). However, it had a problem with accuracy degrading when strong winds blew. In this study, we propose a method for boat detection using deep learning from environmental sound in strong wind conditions. Our proposal method was boat detection via convolutional recurrent neural network using the difference in duration between the boat and wind noise as a cue. The improvement of the proposed method was 0.03 points higher on the average of F-measure than the CNN.
KW - boat noise
KW - convolutional neural network
KW - recurrent neural network
KW - sound recognition
KW - wind noise
UR - http://www.scopus.com/inward/record.url?scp=85147248574&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85147248574&partnerID=8YFLogxK
U2 - 10.1109/GCCE56475.2022.10014118
DO - 10.1109/GCCE56475.2022.10014118
M3 - Conference contribution
AN - SCOPUS:85147248574
T3 - GCCE 2022 - 2022 IEEE 11th Global Conference on Consumer Electronics
SP - 3
EP - 4
BT - GCCE 2022 - 2022 IEEE 11th Global Conference on Consumer Electronics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE Global Conference on Consumer Electronics, GCCE 2022
Y2 - 18 October 2022 through 21 October 2022
ER -