TY - GEN
T1 - A study on the data augment method considering room transfer functions for acoustic scene classification
AU - Kim, Minhan
AU - Lee, Seokjin
N1 - Publisher Copyright:
© 2019 Proceedings of the International Congress on Acoustics. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Acoustic scene classification is the problem of recognition of sound around our living area. Since people recognize the situation through sound when they can't see, it is very natural that acoustical approach is being made in research that awareness of environment. In this field, research using deep learning method such as CNN is widely used recently. However, this method has the disadvantage that the lower the number of data, the lower the performance. So, in this paper, data augmentation considering acoustical approach-the transfer function of the room-was performed to obtain enough number of data for each classes. To verify this method, we used dataset from DCASE 2018 challenge, which is acoustic scene classification competition. Our augmentation method improved overall f1-score by 0.1 from the state-of-art performance.
AB - Acoustic scene classification is the problem of recognition of sound around our living area. Since people recognize the situation through sound when they can't see, it is very natural that acoustical approach is being made in research that awareness of environment. In this field, research using deep learning method such as CNN is widely used recently. However, this method has the disadvantage that the lower the number of data, the lower the performance. So, in this paper, data augmentation considering acoustical approach-the transfer function of the room-was performed to obtain enough number of data for each classes. To verify this method, we used dataset from DCASE 2018 challenge, which is acoustic scene classification competition. Our augmentation method improved overall f1-score by 0.1 from the state-of-art performance.
KW - Acoustic Scene Classification
KW - Data Augmentation
KW - Machine Learning
UR - http://www.scopus.com/inward/record.url?scp=85099330659&partnerID=8YFLogxK
U2 - 10.18154/RWTH-CONV-239214
DO - 10.18154/RWTH-CONV-239214
M3 - Conference contribution
AN - SCOPUS:85099330659
T3 - Proceedings of the International Congress on Acoustics
SP - 2821
EP - 2826
BT - Proceedings of the 23rd International Congress on Acoustics
A2 - Ochmann, Martin
A2 - Michael, Vorlander
A2 - Fels, Janina
PB - International Commission for Acoustics (ICA)
T2 - 23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019
Y2 - 9 September 2019 through 23 September 2019
ER -