-
1
-
-
85032752479
-
Automatic genre classification of music content: A survey
-
Mar.
-
N. Scaringella, G. Zoia, and D. Mlynek, "Automatic genre classification of music content: A survey, " IEEE Signal Process. Mag., vol. 23, no. 2, pp. 133-141, Mar. 2006.
-
(2006)
IEEE Signal Process. Mag.
, vol.23
, Issue.2
, pp. 133-141
-
-
Scaringella, N.1
Zoia, G.2
Mlynek, D.3
-
2
-
-
79952972450
-
A survey of audio-based music classification and annotation
-
Apr.
-
Z. Fu, G. Lu, K. M. Ting, and D. Zhang, "A survey of audio-based music classification and annotation, " IEEE Trans. Multimedia, vol. 13, no. 2, pp. 303-319, Apr. 2011.
-
(2011)
IEEE Trans. Multimedia
, vol.13
, Issue.2
, pp. 303-319
-
-
Fu, Z.1
Lu, G.2
Ting, K.M.3
Zhang, D.4
-
4
-
-
84902659726
-
The state of the art ten years after a state of the art: Future research in music information retrieval
-
B. L. Sturm, "The state of the art ten years after a state of the art: Future research in music information retrieval, " J. New Music Res., vol. 43, no. 2, pp. 147-172, 2014.
-
(2014)
J. New Music Res.
, vol.43
, Issue.2
, pp. 147-172
-
-
Sturm, B.L.1
-
5
-
-
84873545114
-
Improvements of audio-based music similarity and genre classification
-
Sep.
-
E. Pampalk, A. Flexer, and G. Widmer, "Improvements of audio-based music similarity and genre classification, " in Proc. ISMIR, London, U.K., Sep. 2005, pp. 628-233.
-
(2005)
Proc. ISMIR, London, U.K
, pp. 628-233
-
-
Pampalk, E.1
Flexer, A.2
Widmer, G.3
-
6
-
-
84873580369
-
A closer look on artist filters for musical genre classification
-
Sep.
-
A. Flexer, "A closer look on artist filters for musical genre classification, " in Proc. ISMIR, Sep. 2007, pp. 341-344.
-
(2007)
Proc. ISMIR
, pp. 341-344
-
-
Flexer, A.1
-
7
-
-
79960477357
-
Short-term feature space and music genre classification
-
G. Marques, T. Langlois, F. Gouyon, M. Lopes, and M. Sordo, "Short-term feature space and music genre classification, " J. New Music Res., vol. 40, no. 2, pp. 127-137, 2011.
-
(2011)
J. New Music Res.
, vol.40
, Issue.2
, pp. 127-137
-
-
Marques, G.1
Langlois, T.2
Gouyon, F.3
Lopes, M.4
Sordo, M.5
-
8
-
-
84873607627
-
Three current issues in music autotagging
-
G. Marques, M. Domingues, T. Langlois, and F. Gouyon, "Three current issues in music autotagging, " in Proc. ISMIR, 2011, pp. 795-800.
-
(2011)
Proc. ISMIR
, pp. 795-800
-
-
Marques, G.1
Domingues, M.2
Langlois, T.3
Gouyon, F.4
-
9
-
-
84888353738
-
Classification accuracy is not enough: On the evaluation of music genre recognition systems
-
B. L. Sturm, "Classification accuracy is not enough: On the evaluation of music genre recognition systems, " J. Intell. Inf. Syst., vol. 41, no. 3, pp. 371-406, 2013.
-
(2013)
J. Intell. Inf. Syst.
, vol.41
, Issue.3
, pp. 371-406
-
-
Sturm, B.L.1
-
10
-
-
84888255673
-
Evaluating music emotion recognition: Lessons from music genre recognition?
-
B. L. Sturm, "Evaluating music emotion recognition: Lessons from music genre recognition?, " in Proc. ICME, 2013, pp. 1-6.
-
(2013)
Proc. ICME
, pp. 1-6
-
-
Sturm, B.L.1
-
11
-
-
84555179033
-
The need for music information retrieval with user-centered and multi-modal strategies
-
C. C. Liem, M. Müller, D. Eck, G. Tzanetakis, and A. Hanjalic, "The need for music information retrieval with user-centered and multi-modal strategies, " in Proc. Int. ACM Workshop Music Inf. Retrieval User-Centered Multimodal Strategies, 2011, pp. 1-6.
-
(2011)
Proc. Int. ACM Workshop Music Inf. Retrieval User-Centered Multimodal Strategies
, pp. 1-6
-
-
Liem, C.C.1
Müller, M.2
Eck, D.3
Tzanetakis, G.4
Hanjalic, A.5
-
12
-
-
84888379546
-
The neglected user in music information retrieval research
-
Dec.
-
M. Schedl, A. Flexer, and J. Urbano, "The neglected user in music information retrieval research, " J. Intell. Inf. Syst., vol. 41, no. 3, pp. 523-539, Dec. 2013.
-
(2013)
J. Intell. Inf. Syst.
, vol.41
, Issue.3
, pp. 523-539
-
-
Schedl, M.1
Flexer, A.2
Urbano, J.3
-
13
-
-
84907444445
-
Making explicit the formalism underlying evaluation in music information retrieval research: A look at the MIREX automatic mood classification task
-
to be published
-
B. L. Sturm, "Making explicit the formalism underlying evaluation in music information retrieval research: A look at the MIREX automatic mood classification task, " in Post-Proc. 2013 Comput. Music Model. Res., to be published.
-
Post-Proc. 2013 Comput. Music Model. Res
-
-
Sturm, B.L.1
-
14
-
-
84888328116
-
Evaluation in music information retrieval
-
Dec.
-
J. Urbano, M. Schedl, and X. Serra, "Evaluation in music information retrieval, " J. Intell. Inf. Syst., vol. 41, no. 3, pp. 345-369, Dec. 2013.
-
(2013)
J. Intell. Inf. Syst.
, vol.41
, Issue.3
, pp. 345-369
-
-
Urbano, J.1
Schedl, M.2
Serra, X.3
-
15
-
-
84907064112
-
-
Ph.D. dissertation, Dept. Informat., Univ. Carlos III of Madrid, Madrid, Spain
-
J. Urbano, "Evaluation in audio music similarity, " Ph.D. dissertation, Dept. Informat., Univ. Carlos III of Madrid, Madrid, Spain, 2013.
-
(2013)
Evaluation in Audio Music Similarity
-
-
Urbano, J.1
-
17
-
-
0011591628
-
-
C. L. Rahn, Ed. New York, NY, USA: Henry Holt
-
O. Pfungst, Clever Hans (The Horse of Mr. Von Osten): A Contribution to Experimental Animal and Human Psychology, C. L. Rahn, Ed. New York, NY, USA: Henry Holt, 1911.
-
(1911)
A Contribution to Experimental Animal and Human Psychology
-
-
Pfungst, O.1
Hans, C.2
-
18
-
-
84867135717
-
Do horses expect humans to solve their problems?
-
Aug.
-
C. Lesimple, C. Sankey, M.-A. Richard, and M. Hausberger, "Do horses expect humans to solve their problems?, " Frontiers Psychol., vol. 3, pp. 1-4, Aug. 2012.
-
(2012)
Frontiers Psychol.
, vol.3
, pp. 1-4
-
-
Lesimple, C.1
Sankey, C.2
Richard, M.-A.3
Hausberger, M.4
-
19
-
-
84884580883
-
The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use
-
Jun. [Online] 1461
-
B. L. Sturm, "The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use, " Clinical Orthopaedics Related Res., vol. 1306.1461, Jun. 2013 [Online]. Available: http://dblp.uni-trier.de/rec/bibtex/journals/corr/Sturm13
-
(2013)
Clinical Orthopaedics Related Res.
, vol.1306
-
-
Sturm, B.L.1
-
21
-
-
84887113889
-
Scientific knowledge is possible with small-sample classification
-
E. R. Dougherty and L. A. Dalton, "Scientific knowledge is possible with small-sample classification, " EURASIP J. Bioinf. Syst. Biol., vol. 2013:10, 2013.
-
(2013)
EURASIP J. Bioinf. Syst. Biol.
, vol.2013
, pp. 10
-
-
Dougherty, E.R.1
Dalton, L.A.2
-
22
-
-
57049179026
-
Autotagger: A model for predicting social tags from acoustic features on large music databases
-
T. Bertin-Mahieux, D. Eck, F. Maillet, and P. Lamere, "Autotagger: A model for predicting social tags from acoustic features on large music databases, " J. New Music Res., vol. 37, no. 2, pp. 115-135, 2008.
-
(2008)
J. New Music Res.
, vol.37
, Issue.2
, pp. 115-135
-
-
Bertin-Mahieux, T.1
Eck, D.2
Maillet, F.3
Lamere, P.4
-
23
-
-
70350482320
-
Temporal integration for audio classification with application to musical instrument classification
-
Jan.
-
C. Joder, S. Essid, and G. Richard, "Temporal integration for audio classification with application to musical instrument classification, " IEEE Trans. Audio, Speech, Signal Process., vol. 17, no. 1, pp. 174-184, Jan. 2009.
-
(2009)
IEEE Trans. Audio, Speech, Signal Process.
, vol.17
, Issue.1
, pp. 174-184
-
-
Joder, C.1
Essid, S.2
Richard, G.3
-
24
-
-
84873591302
-
State of the art report: Music emotion recognition: A state of the art review
-
Y. E. Kim, E. M. Schmidt, R. Migneco, B. G. Morton, P. Richardson, J. J. Scott, J. A. Speck, and D. Turnbull, "State of the art report: Music emotion recognition: A state of the art review, " in Proc. ISMIR, 2010, pp. 255-266.
-
(2010)
Proc. ISMIR
, pp. 255-266
-
-
Kim, Y.E.1
Schmidt, E.M.2
Migneco, R.3
Morton, B.G.4
Richardson, P.5
Scott, J.J.6
Speck, J.A.7
Turnbull, D.8
-
25
-
-
80051647410
-
Automatic tagging of audio: The state-of-The-art
-
W. Wang, Ed. Hershey, PA, USA: IGI Global
-
T. Bertin-Mahieux, D. Eck, and M. Mandel, "Automatic tagging of audio: The state-of-the-art, " in Machine Audition: Principles, Algorithms and Systems, W. Wang, Ed. Hershey, PA, USA: IGI Global, 2010.
-
(2010)
Machine Audition: Principles, Algorithms and Systems
-
-
Bertin-Mahieux, T.1
Eck, D.2
Mandel, M.3
-
26
-
-
0036648502
-
Musical genre classification of audio signals
-
Jul.
-
G. Tzanetakis and P. Cook, "Musical genre classification of audio signals, " IEEE Trans. Speech Audio Process., vol. 10, no. 5, pp. 293-302, Jul. 2002.
-
(2002)
IEEE Trans. Speech Audio Process.
, vol.10
, Issue.5
, pp. 293-302
-
-
Tzanetakis, G.1
Cook, P.2
-
27
-
-
84905267530
-
The audio degradation toolbox and its application to robustness evaluation
-
M. Mauch and S. Ewert, "The audio degradation toolbox and its application to robustness evaluation, " in Proc. ISMIR, 2013, pp. 83-88.
-
(2013)
Proc. ISMIR
, pp. 83-88
-
-
Mauch, M.1
Ewert, S.2
-
28
-
-
0009759093
-
Music discriminations by pigeons
-
D. Porter and A. Neuringer, "Music discriminations by pigeons, " Exp. Psychol.: Animal Behavior Processes, vol. 10, no. 2, pp. 138-148, 1984.
-
(1984)
Exp. Psychol.: Animal Behavior Processes
, vol.10
, Issue.2
, pp. 138-148
-
-
Porter, D.1
Neuringer, A.2
-
29
-
-
0031834780
-
Reinforcing property of music in Java sparrows (Padda oryzivora)
-
S. Watanabe and M. Nemoto, "Reinforcing property of music in Java sparrows (Padda oryzivora), " Behavioural Processes, vol. 43, no. 2, pp. 211-218, 1998.
-
(1998)
Behavioural Processes
, vol.43
, Issue.2
, pp. 211-218
-
-
Watanabe, S.1
Nemoto, M.2
-
30
-
-
0035744629
-
Music discriminations by carp Cyprinus carpio
-
A. Chase, "Music discriminations by carp "Cyprinus carpio, " Animal Learn. Behavior, vol. 29, no. 4, pp. 336-353, 2001.
-
(2001)
Animal Learn. Behavior
, vol.29
, Issue.4
, pp. 336-353
-
-
Chase, A.1
-
31
-
-
84929424050
-
Multi-modal music emotion recognition: A new dataset, methodology and comparative analysis
-
R. Panda, R. Malheiro, B. Rocha, A. Oliveira, and R. P. Paiva, "Multi-modal music emotion recognition: A new dataset, methodology and comparative analysis, " in Proc. CMMR, 2013, pp. 570-582.
-
(2013)
Proc. CMMR
, pp. 570-582
-
-
Panda, R.1
Malheiro, R.2
Rocha, B.3
Oliveira, A.4
Paiva, R.P.5
-
32
-
-
84873423683
-
Evaluation of musical features for emotion classification
-
Oct.
-
Y. Song, S. Dixon, and M. Pearce, "Evaluation of musical features for emotion classification, " in Proc. ISMIR, Oct. 2012, pp. 523-528.
-
(2012)
Proc. ISMIR
, pp. 523-528
-
-
Song, Y.1
Dixon, S.2
Pearce, M.3
-
33
-
-
84872726756
-
A MATLAB toolbox for musical feature extraction from audio
-
O. Lartillot and P. Toiviainen, "A MATLAB toolbox for musical feature extraction from audio, " in Proc. DAFx, 2007, pp. 237-244.
-
(2007)
Proc. DAFx
, pp. 237-244
-
-
Lartillot, O.1
Toiviainen, P.2
-
34
-
-
84862278688
-
Music genre classification using LBP textural features
-
Nov.
-
Y. Costa, L. Oliveira, A. Koerich, F. Gouyon, and J. Martins, "Music genre classification using LBP textural features, " Signal Process., vol. 92, no. 11, pp. 2723-2737, Nov. 2012.
-
(2012)
Signal Process.
, vol.92
, Issue.11
, pp. 2723-2737
-
-
Costa, Y.1
Oliveira, L.2
Koerich, A.3
Gouyon, F.4
Martins, J.5
-
35
-
-
84897583710
-
Discovering time-constrained sequential patterns for music genre classification
-
May
-
J.-M. Ren and J.-S. R. Jang, "Discovering time-constrained sequential patterns for music genre classification, " IEEE Trans. Audio, Speech, Lang. Process., vol. 20, no. 4, pp. 1134-1144, May 2012.
-
(2012)
IEEE Trans. Audio, Speech, Lang. Process.
, vol.20
, Issue.4
, pp. 1134-1144
-
-
Ren, J.-M.1
Jang, J.-S.R.2
-
36
-
-
84867618300
-
Music genre classification using self-taught learning via sparse coding
-
Mar.
-
K. Markov and T. Matsui, "Music genre classification using self-taught learning via sparse coding, " in Proc. ICASSP, Mar. 2012, pp. 1929-1932.
-
(2012)
Proc. ICASSP
, pp. 1929-1932
-
-
Markov, K.1
Matsui, T.2
-
37
-
-
84904663146
-
A closer look at deep learning neural networks with low-level spectral periodicity features
-
to be published
-
B. L. Sturm, C. Kereliuk, and A. Pikrakis, "A closer look at deep learning neural networks with low-level spectral periodicity features, " in Proc. Int. Workshop Cognitive Inf. Process., to be published.
-
Proc. Int. Workshop Cognitive Inf. Process
-
-
Sturm, B.L.1
Kereliuk, C.2
Pikrakis, A.3
-
38
-
-
84899450932
-
Autonomous robot dancing driven by beats and emotions of music
-
G. Xia, J. Tay, R. Dannenberg, and M. Veloso, "Autonomous robot dancing driven by beats and emotions of music, " in Proc. Int. Conf. Autonomous Agents Multiagent Syst, 2012, pp. 205-212.
-
(2012)
Proc. Int. Conf. Autonomous Agents Multiagent Syst
, pp. 205-212
-
-
Xia, G.1
Tay, J.2
Dannenberg, R.3
Veloso, M.4
-
39
-
-
21844516840
-
Deconstructing statistical questions
-
D. J. Hand, "Deconstructing statistical questions, " J. Royal Statist. Soc. A (Statist. Soc.), vol. 157, no. 3, pp. 317-356, 1994.
-
(1994)
J. Royal Statist. Soc. A (Statist. Soc.)
, vol.157
, Issue.3
, pp. 317-356
-
-
Hand, D.J.1
-
40
-
-
2942747947
-
Representing music genre: A state of the art
-
J.-J. Aucouturier and F. Pachet, "Representing music genre: A state of the art, " J. New Music Res., vol. 32, no. 1, pp. 83-93, 2003.
-
(2003)
J. New Music Res.
, vol.32
, Issue.1
, pp. 83-93
-
-
Aucouturier, J.-J.1
Pachet, F.2
-
41
-
-
55749112518
-
How many beans make five? the consensus problem in music-genre classification and a new evaluation method for single-genre categorisation systems
-
A. Craft, G. A. Wiggins, and T. Crawford, "How many beans make five? The consensus problem in music-genre classification and a new evaluation method for single-genre categorisation systems, " in Proc. ISMIR, 2007, pp. 73-76.
-
(2007)
Proc. ISMIR
, pp. 73-76
-
-
Craft, A.1
Wiggins, G.A.2
Crawford, T.3
-
42
-
-
84873591717
-
-
Ph.D. dissertation, Dept. Comput., Goldsmiths College, Univ. London, London, U.K.
-
A. Craft, "The role of culture in music information retrieval: A model of negotiated musical meaning, and its implications in methodology and evaluation of the music genre classification task, " Ph.D. dissertation, Dept. Comput., Goldsmiths College, Univ. London, London, U.K., 2008.
-
(2008)
The Role of Culture in Music Information Retrieval: A Model of Negotiated Musical Meaning, and Its Implications in Methodology and Evaluation of the Music Genre Classification Task
-
-
Craft, A.1
-
43
-
-
57049098170
-
Learning latent semantic models for music from social tags
-
M. Levy and M. Sandler, "Learning latent semantic models for music from social tags, " J. New Music Res., vol. 37, no. 2, pp. 137-150, 2008.
-
(2008)
J. New Music Res.
, vol.37
, Issue.2
, pp. 137-150
-
-
Levy, M.1
Sandler, M.2
-
44
-
-
77949513751
-
Semantic gap? Schemantic schmap!! Methodological considerations in the scientific study of music
-
G. A. Wiggins, "Semantic gap? Schemantic schmap!! Methodological considerations in the scientific study of music, " in Proc. IEEE Int. Symp. Mulitmedia, Dec. 2009, pp. 477-482.
-
(2009)
Proc. IEEE Int. Symp. Mulitmedia, Dec.
, pp. 477-482
-
-
Wiggins, G.A.1
-
46
-
-
84873604587
-
Signal + context = better classification
-
J.-J. Aucouturier, F. Pachet, P. Roy, and A. Beurivé, "Signal + context = better classification, " in Proc. ISMIR, 2007, pp. 425-430.
-
(2007)
Proc. ISMIR
, pp. 425-430
-
-
Aucouturier, J.-J.1
Pachet, F.2
Roy, P.3
Beurivé, A.4
-
47
-
-
78649431570
-
Sounds like teen spirit: Computational insights into the grounding of everyday musical terms
-
J. Minett and W. Wang, Eds. Taipei, Taiwan: Academia Sinica
-
J.-J. Aucouturier, "Sounds like teen spirit: Computational insights into the grounding of everyday musical terms, " in Language, Evolution and the Brain: Frontiers in Linguistic Series, J. Minett and W. Wang, Eds. Taipei, Taiwan: Academia Sinica, 2009.
-
(2009)
Language, Evolution and the Brain: Frontiers in Linguistic Series
-
-
Aucouturier, J.-J.1
-
48
-
-
84888315556
-
Feature learning and deep architectures: New directions for music informatics
-
E. J. Humphrey, J. P. Bello, and Y. LeCun, "Feature learning and deep architectures: New directions for music informatics, " J. Intell. Inf. Syst., vol. 41, no. 3, pp. 461-481, 2013.
-
(2013)
J. Intell. Inf. Syst.
, vol.41
, Issue.3
, pp. 461-481
-
-
Humphrey, E.J.1
Bello, J.P.2
Lecun, Y.3
-
49
-
-
84907424989
-
-
lecture at Naval Postgraduate School. Monterey, CA, USA, Jun. [Online]
-
R. Hamming, "You get what you measure, " lecture at Naval Postgraduate School. Monterey, CA, USA, Jun. 1995 [Online]. Available: http://www.youtube.com/watch?v=LNhcaVi3zPA
-
(1995)
You Get What You Measure
-
-
Hamming, R.1
-
50
-
-
33644617549
-
Evaluating rhythmic descriptors for musical genre classification
-
F. Gouyon, S. Dixon, E. Pampalk, and G. Widmer, "Evaluating rhythmic descriptors for musical genre classification, " in Proc. Int. Audio Eng. Soc. Conf., 2004, pp. 196-204.
-
(2004)
Proc. Int. Audio Eng. Soc. Conf.
, pp. 196-204
-
-
Gouyon, F.1
Dixon, S.2
Pampalk, E.3
Widmer, G.4
-
51
-
-
85048109157
-
Dance music classification: A tempo-based approach
-
F. Gouyon and S. Dixon, "Dance music classification: A tempo-based approach, " in Proc. ISMIR, 2004, pp. 501-504.
-
(2004)
Proc. ISMIR
, pp. 501-504
-
-
Gouyon, F.1
Dixon, S.2
|