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A Study on Automatic Music Genre Classification Based on th..:
, In:
2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
,
KIKUCHI, Yudai
;
AOKI, Naofumi
;
DOBASHI, Yoshinori
- p. 705-708 , 2020
Link:
https://doi.org/10.1109/ICAIIC48513.2020.9065046
RT T1
2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
: T1
A Study on Automatic Music Genre Classification Based on the Summarization of Music Data
UL https://suche.suub.uni-bremen.de/peid=ieee-9065046&Exemplar=1&LAN=DE A1 KIKUCHI, Yudai A1 AOKI, Naofumi A1 DOBASHI, Yoshinori YR 2020 K1 Music K1 Task analysis K1 Data mining K1 Feature extraction K1 Support vector machines K1 Mel frequency cepstral coefficient K1 Multiple signal classification K1 music genre classification K1 music summarization K1 support vector machine SP 705 OP 708 LK http://dx.doi.org/https://doi.org/10.1109/ICAIIC48513.2020.9065046 DO https://doi.org/10.1109/ICAIIC48513.2020.9065046 SF ELIB - SuUB Bremen
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