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A Survey of Audio-Based Music Classification and Annotation
https://ieeexplore.ieee.org/document/5664796#:~:text=A%20Survey%20of%20Audio-Based%20Music%20Classification%20and%20Annotation,types%20of%20music%20from%20large%20music%20data%20set.
A Survey of Audio-Based Music Classification and …
https://ieeexplore.ieee.org/document/5664796
A survey of audio-based music classification and ...
https://research.monash.edu/en/publications/a-survey-of-audio-based-music-classification-and-annotation
T1 - A survey of audio-based music classification and annotation. AU - Fu, Zhouyu. AU - Lu, Guojun. AU - Ting, Kai. AU - Zhang, Dengsheng. PY - 2011. Y1 - 2011. U2 - 10.1109/TMM.2010.2098858. DO - 10.1109/TMM.2010.2098858. M3 - Article. VL - 13. SP - 303. EP - 319. JO - IEEE Transactions on Multimedia. JF - IEEE Transactions on Multimedia. SN - …
A Survey of Audio-Based Music Classification and …
https://www.researchgate.net/publication/224204583_A_Survey_of_Audio-Based_Music_Classification_and_Annotation
A Survey of Audio-Based Music Classification and …
https://www.semanticscholar.org/paper/A-Survey-of-Audio-Based-Music-Classification-and-Fu-Lu/dc6cf839bb2a0a700c2de463ef038d2d671f6ee2
A Survey of Audio-Based Music Classification and Annotation
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005664796
Music information retrieval (MIR) is an emerging research area that receives growing attention from both the research community and music industry. It addresses the problem of querying and retrieving certain types of music from large music data set. Classification is a fundamental problem in MIR. Many tasks in MIR can be naturally cast in a classification setting, such as …
A survey of audio-based music classification and …
https://core.ac.uk/display/212999149
A survey on symbolic data-based music genre …
https://www.sciencedirect.com/science/article/pii/S095741741630166X
A Survey Of Mood-Based Music Classification
https://www.ijert.org/research/a-survey-of-mood-based-music-classification-IJERTV2IS50727.pdf
Many audio features have been proposed in the survey music mood classification. We can categorize audio features by using different taxonomies. We can group the audio features into subcategories, namely short-term features, long-term features. The main difference is the length of local windows used for
Content-Based Music Information Retrieval (CB-MIR) and …
https://dl.acm.org/doi/10.1145/3177849
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