-
1
-
-
78649328053
-
Survey on speech emotion recognition: Features, classification schemes, and databases
-
M. El Ayadi, M. S. Kamel, and F. Karray, "Survey on speech emotion recognition: Features, classification schemes, and databases, " Pattern Recognition, vol. 44, no. 3, pp. 572-587, 2011.
-
(2011)
Pattern Recognition
, vol.44
, Issue.3
, pp. 572-587
-
-
El Ayadi, M.1
Kamel, M.S.2
Karray, F.3
-
2
-
-
79960846940
-
Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
-
B. Schuller, A. Batliner, S. Steidl, and D. Seppi, "Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge, " Speech Communication, vol. 53, no. 9, pp. 1062-1087, 2011.
-
(2011)
Speech Communication
, vol.53
, Issue.9
, pp. 1062-1087
-
-
Schuller, B.1
Batliner, A.2
Steidl, S.3
Seppi, D.4
-
3
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G. E. Hinton, S. Osindero, and Y.-W. Teh, "A fast learning algorithm for deep belief nets, " Neural Computation, vol. 18, no. 7, pp. 1527-1554, 2006.
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
4
-
-
84879854889
-
Representation learning: A review and new perspectives
-
Y. Bengio, A. Courville, and P. Vincent, "Representation learning: A review and new perspectives, " IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1798-1828, 2013.
-
(2013)
IEEE Transaction on Pattern Analysis and Machine Intelligence
, vol.35
, Issue.8
, pp. 1798-1828
-
-
Bengio, Y.1
Courville, A.2
Vincent, P.3
-
5
-
-
84055222005
-
Contextdependent pre-trained deep neural networks for largevocabulary speech recognition
-
G. E. Dahl, D. Yu, L. Deng, and A. Acero, "Contextdependent pre-trained deep neural networks for largevocabulary speech recognition, " Audio, Speech, and Language Processing, IEEE Transactions on, vol. 20, no. 1, pp. 30-42, 2012.
-
(2012)
Audio, Speech, and Language Processing, IEEE Transactions on
, vol.20
, Issue.1
, pp. 30-42
-
-
Dahl, G.E.1
Yu, D.2
Deng, L.3
Acero, A.4
-
6
-
-
33745903481
-
Extreme learning machine: Theory and applications
-
G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, "Extreme learning machine: Theory and applications, " Neurocomputing, vol. 70, no. 1, pp. 489-501, 2006.
-
(2006)
Neurocomputing
, vol.70
, Issue.1
, pp. 489-501
-
-
Huang, G.-B.1
Zhu, Q.-Y.2
Siew, C.-K.3
-
7
-
-
0141478857
-
Hidden markov model-based speech emotion recognition
-
IEEE
-
B. Schuller, G. Rigoll, and M. Lang, "Hidden markov model-based speech emotion recognition, " in Proceedings of IEEE ICASSP 2003, vol. 2. IEEE, 2003, pp. II-1.
-
(2003)
Proceedings of IEEE ICASSP 2003
, vol.2
, pp. II-1
-
-
Schuller, B.1
Rigoll, G.2
Lang, M.3
-
8
-
-
85009063582
-
Emotion recognition based on phoneme classes
-
C. M. Lee, S. Yildirim, M. Bulut, A. Kazemzadeh, C. Busso, Z. Deng, S. Lee, and S. Narayanan, "Emotion recognition based on phoneme classes, " in Proceedings of Interspeech, 2004, pp. 889-892.
-
(2004)
Proceedings of Interspeech
, pp. 889-892
-
-
Lee, C.M.1
Yildirim, S.2
Bulut, M.3
Kazemzadeh, A.4
Busso, C.5
Deng, Z.6
Lee, S.7
Narayanan, S.8
-
9
-
-
34547507232
-
Gmm supervector based SVM with spectral features for speech emotion recognition
-
IEEE
-
H. Hu, M.-X. Xu, and W. Wu, "GMM supervector based SVM with spectral features for speech emotion recognition, " in Proceedings of IEEE ICASSP 2007, vol. 4. IEEE, 2007, pp. IV-413.
-
(2007)
Proceedings of IEEE ICASSP 2007
, vol.4
, pp. IV-413
-
-
Hu, H.1
Xu, M.-X.2
Wu, W.3
-
10
-
-
84890540010
-
Bhattacharyya distance based emotional dissimilarity measure for emotion classification
-
IEEE
-
T. L. Nwe, N. T. Hieu, and D. K. Limbu, "Bhattacharyya distance based emotional dissimilarity measure for emotion classification, " in Proceedings of IEEE ICASSP 2013. IEEE, 2013, pp. 7512-7516.
-
(2013)
Proceedings of IEEE ICASSP 2013
, pp. 7512-7516
-
-
Nwe, T.L.1
Hieu, N.T.2
Limbu, D.K.3
-
11
-
-
77949415384
-
OpenEAR - introducing the Munich open-source emotion and affect recognition toolkit
-
IEEE
-
F. Eyben, M. Wollmer, and B. Schuller, "OpenEAR - introducing the Munich open-source emotion and affect recognition toolkit, " in Proceedings of ACII 2009. IEEE, 2009, pp. 1-6.
-
(2009)
Proceedings of ACII 2009
, pp. 1-6
-
-
Eyben, F.1
Wollmer, M.2
Schuller, B.3
-
12
-
-
85008006613
-
A framework for automatic human emotion classification using emotion profiles
-
E. Mower, M. J. Mataric, and S. Narayanan, "A framework for automatic human emotion classification using emotion profiles, " IEEE Transactions on Audio, Speech, and Language Processing, vol. 19, no. 5, pp. 1057-1070, 2011.
-
(2011)
IEEE Transactions on Audio, Speech, and Language Processing
, vol.19
, Issue.5
, pp. 1057-1070
-
-
Mower, E.1
Mataric, M.J.2
Narayanan, S.3
-
13
-
-
70450179812
-
Emotion recognition using a hierarchical binary decision tree approach
-
C.-C. Lee, E. Mower, C. Busso, S. Lee, and S. Narayanan, "Emotion recognition using a hierarchical binary decision tree approach, " in Proceedings of Interspeech, 2009, pp. 320-323.
-
(2009)
Proceedings of Interspeech
, pp. 320-323
-
-
Lee, C.-C.1
Mower, E.2
Busso, C.3
Lee, S.4
Narayanan, S.5
-
14
-
-
84890515467
-
Emotion classification via utterance-level dynamics: A pattern-based approach to characterizing affective expressions
-
IEEE
-
Y. Kim and E. Mower Provost, "Emotion classification via utterance-level dynamics: A pattern-based approach to characterizing affective expressions, " in Proceedings of IEEE ICASSP 2013. IEEE, 2013.
-
(2013)
Proceedings of IEEE ICASSP 2013
-
-
Kim, Y.1
Provost, E.M.2
-
15
-
-
85083953021
-
-
arXiv preprint arXiv:1301.3605
-
D. Yu, M. L. Seltzer, J. Li, J.-T. Huang, and F. Seide, "Feature learning in deep neural networks-studies on speech recognition tasks, " arXiv preprint arXiv:1301.3605, 2013.
-
(2013)
Feature Learning in Deep Neural Networks-studies on Speech Recognition Tasks
-
-
Yu, D.1
Seltzer, M.L.2
Li, J.3
Huang, J.-T.4
Seide, F.5
-
16
-
-
84874282188
-
Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM
-
J. Li, D. Yu, J.-T. Huang, and Y. Gong, "Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM, " in Proceedings of SLT, 2012.
-
(2012)
Proceedings of SLT
-
-
Li, J.1
Yu, D.2
Huang, J.-T.3
Gong, Y.4
-
17
-
-
84890491198
-
Recent advances in deep learning for speech research at microsoft
-
L. Deng, J. Li, J.-T. Huang, K. Yao, D. Yu, F. Seide, M. Seltzer, G. Zweig, X. He, J. Williams et al., "Recent advances in deep learning for speech research at Microsoft, " in Proceedings of IEEE ICASSP 2013, 2013.
-
(2013)
Proceedings of IEEE ICASSP 2013
-
-
Deng, L.1
Li, J.2
Huang, J.-T.3
Yao, K.4
Yu, D.5
Seide, F.6
Seltzer, M.7
Zweig, G.8
He, X.9
Williams, J.10
-
18
-
-
84862822032
-
Efficient and effective algorithms for training single-hidden-layer neural networks
-
D. Yu and L. Deng, "Efficient and effective algorithms for training single-hidden-layer neural networks, " Pattern Recognition Letters, vol. 33, no. 5, pp. 554-558, 2012.
-
(2012)
Pattern Recognition Letters
, vol.33
, Issue.5
, pp. 554-558
-
-
Yu, D.1
Deng, L.2
-
19
-
-
59849093076
-
IEMOCAP: Interactive emotional dyadic motion capture database
-
C. Busso, M. Bulut, C.-C. Lee, A. Kazemzadeh, E. Mower, S. Kim, J. N. Chang, S. Lee, and S. S. Narayanan, "IEMOCAP: Interactive emotional dyadic motion capture database, " Language resources and evaluation, vol. 42, no. 4, pp. 335-359, 2008.
-
(2008)
Language Resources and Evaluation
, vol.42
, Issue.4
, pp. 335-359
-
-
Busso, C.1
Bulut, M.2
Lee, C.-C.3
Kazemzadeh, A.4
Mower, E.5
Kim, S.6
Chang, J.N.7
Lee, S.8
Narayanan, S.S.9
-
20
-
-
80051611848
-
Iterative feature normalization for emotional speech detection
-
IEEE
-
C. Busso, A. Metallinou, and S. S. Narayanan, "Iterative feature normalization for emotional speech detection, " in Proceedings of IEEE ICASSP 2011. IEEE, 2011, pp. 5692-5695.
-
(2011)
Proceedings of IEEE ICASSP 2011
, pp. 5692-5695
-
-
Busso, C.1
Metallinou, A.2
Narayanan, S.S.3
-
21
-
-
84890510905
-
Identifying salient sub-utterance emotion dynamics using flexible units and estimates of affective flow
-
IEEE
-
E. Mower Provost, "Identifying salient sub-utterance emotion dynamics using flexible units and estimates of affective flow, " in Proceedings of IEEE ICASSP 2013. IEEE, 2013.
-
(2013)
Proceedings of IEEE ICASSP 2013
-
-
Provost, E.M.1
-
22
-
-
84893307972
-
Hybrid deep neural network- hidden Markov model (DNN-HMM) based speech emotion recognition
-
IEEE
-
L. Li, Y. Zhao, D. Jiang, Y. Zhang, F. Wang, I. Gonzalez, E. Valentin, and H. Sahli, "Hybrid deep neural network- hidden Markov model (DNN-HMM) based speech emotion recognition, " in Proceedings of ACII. IEEE, 2013, pp. 312-317.
-
(2013)
Proceedings of ACII
, pp. 312-317
-
-
Li, L.1
Zhao, Y.2
Jiang, D.3
Zhang, Y.4
Wang, F.5
Gonzalez, I.6
Valentin, E.7
Sahli, H.8
|