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We introduce the Free Music Archive (FMA), an open and easily accessible dataset suitable for evaluating several tasks in MIR, a field concerned with browsing, searching, and organizing large music collections.
Fundamentals of speech recognition
L R Rabiner and BH Juang · 1993
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Y LeCun, L Bottou, Y Bengio, and P Haffner · 1998
Earlier work this paper cites.
Rwc music database: Popular, classical and jazz music databases
M Goto, H Hashiguchi, T Nishimura, and R Oka · 2002
Earlier work this paper cites.
Music type classification by spectral contrast feature
DN Jiang, L Lu, HJ Zhang, JH Tao, and LH Cai · 2002
Earlier work this paper cites.
Musical genre classification of audio signals
G Tzanetakis and P Cook · 2002
Earlier work this paper cites.
A large-scale evaluation of acoustic and subjective music-similarity measures
A Berenzweig, B Logan, D PW Ellis, and B Whitman · 2004
Earlier work this paper cites.
Evaluating rhythmic descriptors for musical genre classification
F Gouyon, S Dixon, E Pampalk, and G Widmer · 2004
Earlier work this paper cites.
A benchmark dataset for audio classification and clustering
H Homburg, I Mierswa, B Möller, K Morik, and M Wurst · 2005
Earlier work this paper cites.
Improvements of audio-based music similarity and genre classificaton
E Pampalk, A Flexer, and G Widmer · 2005
Earlier work this paper cites.
Improvements of audio-based music similarity and genre classificaton
E Pampalk, A Flexer, G Widmer, et al · 2005
Earlier work this paper cites.
A chorus section detection method for musical audio signals and its application to a music listening station
M Goto · 2006
Earlier work this paper cites.
Detecting harmonic change in musical audio
C Harte, M Sandler, and M Gasser · 2006
Earlier work this paper cites.
Musical genre classification: Is it worth pursuing and how can it be improved?
C McKay and I Fujinaga · 2006
Earlier work this paper cites.
A large publicly accassible prototype audio database for music research
C McKay, D McEnnis, and I Fujinaga · 2006
Earlier work this paper cites.
Automatic genre classification of music content: a survey
N Scaringella, G Zoia, and D Mlynek · 2006
Earlier work this paper cites.
Classifying music audio with timbral and chroma features
D PW Ellis · 2007
Earlier work this paper cites.
A closer look on artist filters for musical genre classification
A Flexer · 2007
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Frame level audio similarity - a codebook approach
K Seyerlehner, G Widmer, and P Knees · 2008
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The latin music database
C N Silla Jr, A L Koerich, and C AA Kaestner · 2008
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Semantic annotation and retrieval of music and sound effects
D Turnbull, L Barrington, D Torres, and G Lanckriet · 2008
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Imagenet: A large-scale hierarchical image database
J Deng, W Dong, R Socher, LJ Li, K Li, and L Fei-Fei · 2009
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Learning Multiple Layers of Features from Tiny Images
A Krizhevsky · 2009
Cited alongside, same era.
Moving beyond feature design: Deep architectures and automatic feature learning in music informatics
E J Humphrey, Juan P Bello, and Y LeCun · 2012
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Imagenet classification with deep convolutional neural networks
A Krizhevsky, I Sutskever, and G E Hinton · 2012
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Facilitating comprehensive benchmarking experiments on the million song dataset
A Schindler, R Mayer, and A Rauber · 2012
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A professionally annotated and enriched multimodal data set on popular music
M Schedl, N Orio, C Liem, and G Peeters · 2013
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End-to-end learning for music audio
S Dieleman and B Schrauwen · 2014
Later among the works it cites.
The state of the art ten years after a state of the art: Future research in music information retrieval
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Omras2 metadata project 2009
M Mauch, C Cannam, M Davies, S Dixon, C Harte, S Kolozali, D Tidhar, and M Sandler · 2009
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Automatic tagging of audio: The state-of-the-art
T Bertin-Mahieux, D Eck, and M Mandel · 2010
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The music information retrieval evaluation exchange: Some observations and insights
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Fusing block-level features for music similarity estimation
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Exploring automatic music annotation with acoustically-objective tags
D Tingle, Y E Kim, and D Turnbull · 2010
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B L Sturm · 2014
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Deep learning
Y LeCun, Y Bengio, and G Hinton · 2015
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Acousticbrainz: a community platform for gathering music information obtained from audio
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Imagenet large scale visual recognition challenge
O Russakovsky et al · 2015
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Improving genre annotations for the million song dataset
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The extended ballroom dataset
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A plan for sustainable mir evaluation
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