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1
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84873591302
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Music emotion recognition: A state of the art review
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Utrecht, Netherlands
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Y. E. Kim, E. M. Schmidt, R. Migneco, B. G. Morton, P. Richardson, J. Scott, J. A. Speck, and D. Turnbull, "Music emotion recognition: A state of the art review," in ISMIR, Utrecht, Netherlands, 2010.
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(2010)
ISMIR
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Kim, Y.E.1
Schmidt, E.M.2
Migneco, R.3
Morton, B.G.4
Richardson, P.5
Scott, J.6
Speck, J.A.7
Turnbull, D.8
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2
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77950110014
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Marsyas submissions to MIREX 2007
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G. Tzanetakis, "Marsyas submissions to MIREX 2007," MIREX 2007.
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(2007)
MIREX
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Tzanetakis, G.1
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3
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84873426295
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Mirex 2010: Audio classification using semantic transformation and classifier ensemble
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J.-C. Wang, H.-Y. Lo, S.-K. Jeng, and H.-M. Wang, "Mirex 2010: Audio classification using semantic transformation and classifier ensemble," in MIREX, 2010.
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(2010)
MIREX
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Wang, J.-C.1
Lo, H.-Y.2
Jeng, S.-K.3
Wang, H.-M.4
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4
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84873469059
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Feature selection for content-based, time-varying musical emotion regression
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Philadelphia, PA
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E. M. Schmidt, D. Turnbull, and Y. E. Kim, "Feature selection for content-based, time-varying musical emotion regression," in ACM MIR, Philadelphia, PA, 2010.
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(2010)
ACM MIR
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Schmidt, E.M.1
Turnbull, D.2
Kim, Y.E.3
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5
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84555174290
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Prediction of time-varying musical mood distributions from audio
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Utrecht, Netherlands
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E. M. Schmidt and Y. E. Kim, "Prediction of time-varying musical mood distributions from audio," in ISMIR, Utrecht, Netherlands, 2010.
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(2010)
ISMIR
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Schmidt, E.M.1
Kim, Y.E.2
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7
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33746600649
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Reducing the dimensionality of data with neural networks
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July
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G. E. Hinton and R. R. Salakhutdinov, "Reducing the dimensionality of data with neural networks," Science, Vol. 313, no. 5786, pp. 504-507, July 2006.
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Science
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Hinton, G.E.1
Salakhutdinov, R.R.2
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8
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83455238990
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Learning emotion-based acoustic features with deep belief networks
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New Paltz, NY
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E. M. Schmidt and Y. E. Kim, "Learning emotion-based acoustic features with deep belief networks," in WASPAA, New Paltz, NY, 2011.
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(2011)
WASPAA
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Schmidt, E.M.1
Kim, Y.E.2
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9
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84873439488
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Relating perceptual and feature space invariances in music emotion recognition
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London, U.K.
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E. M. Schmidt, M. Prochup, J. Scott, B. Dolhansky, B. G. Morton, and Y. E. Kim, "Relating perceptual and feature space invariances in music emotion recognition," in CMMR, London, U.K., 2012.
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(2012)
CMMR
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Schmidt, E.M.1
Prochup, M.2
Scott, J.3
Dolhansky, B.4
Morton, B.G.5
Kim, Y.E.6
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10
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84863380535
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Unsu-pervised feature learning for audio classification using convolutional deep belief networks
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MIT Press
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H. Lee, Y. Largman, P. Pham, and A. Y. Ng, "Unsu-pervised feature learning for audio classification using convolutional deep belief networks," in NIPS. MIT Press, 2009.
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(2009)
NIPS
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Lee, H.1
Largman, Y.2
Pham, P.3
Ng, A.Y.4
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11
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84873584268
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Learning features from music audio with deep belief networks
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Utrecht, Netherlands
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P. Hamel and D. Eck, "Learning features from music audio with deep belief networks," in ISMIR, Utrecht, Netherlands, 2010.
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(2010)
ISMIR
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Hamel, P.1
Eck, D.2
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12
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84873445412
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MoodSwings: A collaborative game for music mood label collection
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Philadelphia, PA, September
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Y. E. Kim, E. Schmidt, and L. Emelle, "MoodSwings: A collaborative game for music mood label collection," in ISMIR, Philadelphia, PA, September 2008.
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(2008)
ISMIR
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Kim, Y.E.1
Schmidt, E.2
Emelle, L.3
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13
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84873597750
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A comparative study of collaborative vs. Traditional annotation methods
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Miami, Florida
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J. A. Speck, E. M. Schmidt, B. G. Morton, and Y. E. Kim, "A comparative study of collaborative vs. traditional annotation methods," in ISMIR, Miami, Florida, 2011.
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(2011)
ISMIR
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Speck, J.A.1
Schmidt, E.M.2
Morton, B.G.3
Kim, Y.E.4
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14
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84908322734
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Music type classification by spectral contrast feature
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D. Jiang, L. Lu, H. Zhang, J. Tao, and L. Cai, "Music type classification by spectral contrast feature," in Proc. Intl. Conf. on Multimedia and Expo, Vol. 1, 2002, pp. 113-116.
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(2002)
Proc. Intl. Conf. on Multimedia and Expo
, vol.1
, pp. 113-116
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Jiang, D.1
Lu, L.2
Zhang, H.3
Tao, J.4
Cai, L.5
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15
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0019053271
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Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
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IEEE Transactions on
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S. Davis and P. Mermelstein, "Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences," Acoustics, Speech and Signal Processing, IEEE Transactions on, Vol. 28, no. 4, pp. 357-366, 1980.
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(1980)
Acoustics, Speech and Signal Processing
, vol.28
, Issue.4
, pp. 357-366
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Davis, S.1
Mermelstein, P.2
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16
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33745805403
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A fast learning algorithm for deep belief nets
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G. E. Hinton, S. Osindero, and Y. Teh, "A fast learning algorithm for deep belief nets," Neural Computation, Vol. 18, no. 7, pp. 1527-1554, 2006.
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Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
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Hinton, G.E.1
Osindero, S.2
Teh, Y.3
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17
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84864073449
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Greedy layer-wise training of deep networks
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MIT Press
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Y. Bengio, P. Lamblin, D. Popovici, and H. Larochelle, "Greedy layer-wise training of deep networks," in NIPS. MIT Press, 2007.
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(2007)
NIPS
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Bengio, Y.1
Lamblin, P.2
Popovici, D.3
Larochelle, H.4
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19
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84872700353
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Modeling musical emotion dynamics with conditional random fields
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Miami, FL
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- -, "Modeling musical emotion dynamics with conditional random fields," in ISMIR, Miami, FL, 2011.
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(2011)
ISMIR
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Schmidt, E.M.1
Kim, Y.E.2
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