TY - GEN
T1 - A comparison of audio signal preprocessing methods for deep neural networks on music tagging
AU - Choi, Keunwoo
AU - Fazekas, György
AU - Sandler, Mark
AU - Cho, Kyunghyun
N1 - Publisher Copyright:
© EURASIP 2018.
PY - 2018/11/29
Y1 - 2018/11/29
N2 - In this paper, we empirically investigate the effect of audio preprocessing on music tagging with deep neural networks. We perform comprehensive experiments involving audio preprocessing using different time-frequency representations, logarithmic magnitude compression, frequency weighting, and scaling. We show that many commonly used input preprocessing techniques are redundant except magnitude compression.
AB - In this paper, we empirically investigate the effect of audio preprocessing on music tagging with deep neural networks. We perform comprehensive experiments involving audio preprocessing using different time-frequency representations, logarithmic magnitude compression, frequency weighting, and scaling. We show that many commonly used input preprocessing techniques are redundant except magnitude compression.
UR - http://www.scopus.com/inward/record.url?scp=85059824782&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059824782&partnerID=8YFLogxK
U2 - 10.23919/EUSIPCO.2018.8553106
DO - 10.23919/EUSIPCO.2018.8553106
M3 - Conference contribution
AN - SCOPUS:85059824782
T3 - European Signal Processing Conference
SP - 1870
EP - 1874
BT - 2018 26th European Signal Processing Conference, EUSIPCO 2018
PB - European Signal Processing Conference, EUSIPCO
T2 - 26th European Signal Processing Conference, EUSIPCO 2018
Y2 - 3 September 2018 through 7 September 2018
ER -