-
2
-
-
79953822842
-
Affect detection: An interdisciplinary review of models, methods, and their applications
-
R. A. Calvo and S. D'Mello. Affect detection: An interdisciplinary review of models, methods, and their applications. IEEE Trans. Affective Computing, 1(1):18-37, 2010.
-
(2010)
IEEE Trans. Affective Computing
, vol.1
, Issue.1
, pp. 18-37
-
-
Calvo, R.A.1
D'Mello, S.2
-
3
-
-
78049403723
-
Differential entropic clustering of multivariate Gaussians
-
J. V. Davis and I. S. Dhillon. Differential entropic clustering of multivariate Gaussians. In NIPS, 2006.
-
(2006)
NIPS
-
-
Davis, J.V.1
Dhillon, I.S.2
-
4
-
-
84873646150
-
Prediction of multidimensional emotional ratings in music from audio using multivariate regression models
-
T. Eerola, O. Lartillot, and P. Toiviainen. Prediction of multidimensional emotional ratings in music from audio using multivariate regression models. In ISMIR, 2009.
-
(2009)
ISMIR
-
-
Eerola, T.1
Lartillot, O.2
Toiviainen, P.3
-
5
-
-
33745759392
-
Emotion perceived and emotion felt: Same or different?
-
A. Gabrielsson. Emotion perceived and emotion felt: Same or different? Musicae Scientiae, pages 123-147, 2002.
-
(2002)
Musicae Scientiae
, pp. 123-147
-
-
Gabrielsson, A.1
-
6
-
-
34249013658
-
Relationships between musical structure and psychophysiological measures of emotion
-
P. Gomez and B. Danuser. Relationships between musical structure and psychophysiological measures of emotion. Emotion, 7(2):377-87, 2007.
-
(2007)
Emotion
, vol.7
, Issue.2
, pp. 377-387
-
-
Gomez, P.1
Danuser, B.2
-
8
-
-
34547516258
-
Approximating the Kullback Leibler divergence between Gaussian mixture models
-
J. Hershey and P. Olsen. Approximating the Kullback Leibler divergence between Gaussian mixture models. In ICASSP, pages 317-320, 2007.
-
(2007)
ICASSP
, pp. 317-320
-
-
Hershey, J.1
Olsen, P.2
-
9
-
-
84873433681
-
The 2007 MIREX audio mood classiffication task: Lessons learned
-
X. Hu, J. S. Downie, C. Laurier, M. Bay, and A. F. Ehmann. The 2007 MIREX audio mood classiffication task: Lessons learned. In ISMIR, 2008.
-
(2008)
ISMIR
-
-
Hu, X.1
Downie, J.S.2
Laurier, C.3
Bay, M.4
Ehmann, A.F.5
-
10
-
-
1842637192
-
Cumulated gain-based evaluation of IR techniques
-
K. Jarvelin and J. Kekalainen. Cumulated gain-based evaluation of IR techniques. ACM Trans. on Info. Syst., 20(4):422-446, 2002.
-
(2002)
ACM Trans. on Info. Syst.
, vol.20
, Issue.4
, pp. 422-446
-
-
Jarvelin, K.1
Kekalainen, J.2
-
11
-
-
85035841760
-
Expression, perception, and induction of musical emotions: A review and a questionnaire study of everyday listening
-
P. N. Juslin and P. Laukka. Expression, perception, and induction of musical emotions: A review and a questionnaire study of everyday listening. J. New Music Res., 33(3):217-238, 2004.
-
(2004)
J. New Music Res.
, vol.33
, Issue.3
, pp. 217-238
-
-
Juslin, P.N.1
Laukka, P.2
-
12
-
-
84873591302
-
Music emotion recognition: A state of the art review
-
Y. E. Kim and et al. Music emotion recognition: A state of the art review. In ISMIR, 2010.
-
(2010)
ISMIR
-
-
Kim, Y.E.1
-
13
-
-
33744741319
-
Modeling emotional content of music using system identification
-
M. D. Korhonen, D. A. Clausi, and M. E. Jernigan. Modeling emotional content of music using system identification. IEEE Trans. System, Man and Cybernetics, 36(3):588-599, 2006.
-
(2006)
IEEE Trans. System, Man and Cybernetics
, vol.36
, Issue.3
, pp. 588-599
-
-
Korhonen, M.D.1
Clausi, D.A.2
Jernigan, M.E.3
-
14
-
-
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 DAFx, 2007.
-
(2007)
DAFx
-
-
Lartillot, O.1
Toiviainen, P.2
-
15
-
-
33744975700
-
Automatic mood detection and tracking of music audio signals
-
L. Lu, D. Liu, and H. Zhang. Automatic mood detection and tracking of music audio signals. IEEE Trans. Audio, Speech and Lang. Proc., 14(1):5-18, 2006.
-
(2006)
IEEE Trans. Audio, Speech and Lang. Proc.
, vol.14
, Issue.1
, pp. 5-18
-
-
Lu, L.1
Liu, D.2
Zhang, H.3
-
16
-
-
49549124035
-
Automatic emotion prediction of song excerpts: Index construction, algorithm design, and empirical comparison
-
K. F. MacDorman, S. Ough, and C.-C. Ho. Automatic emotion prediction of song excerpts: Index construction, algorithm design, and empirical comparison. J. New Music Res., 36(4):281-299, 2007.
-
(2007)
J. New Music Res.
, vol.36
, Issue.4
, pp. 281-299
-
-
MacDorman, K.F.1
Ough, S.2
Ho, C.-C.3
-
17
-
-
77951954464
-
Learning from crowds
-
V. C. Raykar, S. Yu, L. H. Zhao, G. H. Valadez, C. Florin, L. Bogoni, and L. Moy. Learning from crowds. J. Machine Learning Res., 11:1297-1322, 2010.
-
(2010)
J. Machine Learning Res.
, vol.11
, pp. 1297-1322
-
-
Raykar, V.C.1
Yu, S.2
Zhao, L.H.3
Valadez, G.H.4
Florin, C.5
Bogoni, L.6
Moy, L.7
-
19
-
-
84555174290
-
Prediction of time-varying musical mood distributions from audio
-
E. M. Schmidt and Y. E. Kim. Prediction of time-varying musical mood distributions from audio. In ISMIR, 2010.
-
(2010)
ISMIR
-
-
Schmidt, E.M.1
Kim, Y.E.2
-
20
-
-
79952403274
-
Prediction of time-varying musical mood distributions using Kalman filtering
-
E. M. Schmidt and Y. E. Kim. Prediction of time-varying musical mood distributions using Kalman filtering. In ICMLA, 2010.
-
(2010)
ICMLA
-
-
Schmidt, E.M.1
Kim, Y.E.2
-
21
-
-
84872700353
-
Modeling musical emotion dynamics with conditional random fields
-
E. M. Schmidt and Y. E. Kim. Modeling musical emotion dynamics with conditional random fields. In ISMIR, 2011.
-
(2011)
ISMIR
-
-
Schmidt, E.M.1
Kim, Y.E.2
-
22
-
-
17444438778
-
New support vector algorithms
-
B. Scḧolkopf, A. J. Smola, R. C. Williamson, and P. L. Bartlett. New support vector algorithms. Neural Computation, 12:1207-1245, 2000.
-
(2000)
Neural Computation
, vol.12
, pp. 1207-1245
-
-
Scḧolkopf, B.1
Smola, A.J.2
Williamson, R.C.3
Bartlett, P.L.4
-
23
-
-
31144442341
-
Modeling perceived emotion with continuous musical features
-
E. Schubert. Modeling perceived emotion with continuous musical features. Music Perception, 21(4):561-585, 2004.
-
(2004)
Music Perception
, vol.21
, Issue.4
, pp. 561-585
-
-
Schubert, E.1
-
24
-
-
77952100523
-
Cheer Me Up!": Musical and textual features for automatic mood classification
-
B. Schuller, C. Hage, D. Schuller, and G. Rigoll. \Mister D.J., Cheer Me Up!": Musical and textual features for automatic mood classification. J. New Music Res., 39(1):13-34, 2010.
-
(2010)
J. New Music Res.
, vol.39
, Issue.1
, pp. 13-34
-
-
Schuller, B.1
Hage, C.2
Schuller, D.3
Rigoll, G.4
Mister, D.J.5
-
26
-
-
84873597750
-
A comparative study of collaborative vs. traditional musical mood annotation
-
J. A. Speck, E. M. Schmidt, B. G. Morton, and Y. E. Kim. A comparative study of collaborative vs. traditional musical mood annotation. In ISMIR, 2011.
-
(2011)
ISMIR
-
-
Speck, J.A.1
Schmidt, E.M.2
Morton, B.G.3
Kim, Y.E.4
-
28
-
-
84873594763
-
Learning the similarity of audio music in bag-of-frames representation from tagged music data
-
J.-C. Wang, H.-S. Lee, H.-M. Wang, and S.-K. Jeng. Learning the similarity of audio music in bag-of-frames representation from tagged music data. In ISMIR, 2011.
-
(2011)
ISMIR
-
-
Wang, J.-C.1
Lee, H.-S.2
Wang, H.-M.3
Jeng, S.-K.4
-
30
-
-
85008559668
-
Predicting the distribution of perceived emotions of a music signal for content retrieval
-
Y.-H. Yang and H. H. Chen. Predicting the distribution of perceived emotions of a music signal for content retrieval. IEEE Trans. Audio, Speech and Lang. Proc., 19(7):2184-2196, 2011.
-
(2011)
IEEE Trans. Audio, Speech and Lang. Proc.
, vol.19
, Issue.7
, pp. 2184-2196
-
-
Yang, Y.-H.1
Chen, H.H.2
-
31
-
-
39649108781
-
A regression approach to music emotion recognition
-
Y.-H. Yang, Y.-C. Lin, Y.-F. Su, and H. H. Chen. A regression approach to music emotion recognition. IEEE Trans. Audio, Speech and Lang. Proc., 16(2):448-457, 2008.
-
(2008)
IEEE Trans. Audio, Speech and Lang. Proc.
, vol.16
, Issue.2
, pp. 448-457
-
-
Yang, Y.-H.1
Lin, Y.-C.2
Su, Y.-F.3
Chen, H.H.4
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