-
1
-
-
84905252886
-
Emotion Detection in Speech using Deep Networks
-
Florence, Italy. IEEE
-
Amer, M.R., Siddiquie, B., Richey, C., Divakaran, A.: Emotion Detection in Speech using Deep Networks. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), Florence, Italy. IEEE (2013)
-
(2013)
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)
-
-
Amer, M.R.1
Siddiquie, B.2
Richey, C.3
Divakaran, A.4
-
3
-
-
84878405775
-
Likability Classification - A not so Deep Neural Network Approach
-
ISCA, Portland, OR, 4 pages, September
-
Bruckner, R., Schuller, B.: Likability Classification - A not so Deep Neural Network Approach. In: Proceedings of the INTERSPEECH 2012, 13th Annual Conference of the International Speech Communication Association, ISCA, Portland, OR, 4 pages (September 2012)
-
(2012)
Proceedings of the INTERSPEECH 2012, 13Th Annual Conference of the International Speech Communication Association
-
-
Bruckner, R.1
Schuller, B.2
-
4
-
-
84893704598
-
Hierarchical Neural Networks and Enhanced Class Posteriors for Social Signal Classification
-
ASRU 2013, Olomouc, Czech Republic, 6 pages. IEEE, December
-
Bruckner, R., Schuller, B.: Hierarchical Neural Networks and Enhanced Class Posteriors for Social Signal Classification. In: Proceedings 13th Biannual IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2013, Olomouc, Czech Republic, 6 pages. IEEE (December 2013)
-
(2013)
Proceedings 13Th Biannual IEEE Automatic Speech Recognition and Understanding Workshop
-
-
Bruckner, R.1
Schuller, B.2
-
5
-
-
84930963127
-
Being at Odds? - Deep and Hierarchical Neural Net-works for Classification and Regression of Conflict in Speech
-
In: Poggi, I., D'Errico, F., Vinciarelli, A. (eds.), Computational Social Sciences. Springer, Heidelberg
-
Bruckner, R., Schuller, B.: Being at Odds? - Deep and Hierarchical Neural Net-works for Classification and Regression of Conflict in Speech. In: Poggi, I., D'Errico, F., Vinciarelli, A. (eds.) Conflict and Negotiation: Social Research and Machine Intelligence. Computational Social Sciences. Springer, Heidelberg (2014)
-
(2014)
Conflict and Negotiation: Social Research and Machine Intelligence
-
-
Bruckner, R.1
Schuller, B.2
-
6
-
-
84905247594
-
Social Signal Classification Using Deep BLSTM Re-current Neural Networks
-
ICASSP 2014, Florence, Italy, IEEE, May
-
Bruckner, R., Schuller, B.: Social Signal Classification Using Deep BLSTM Re-current Neural Networks. In: Proceedings of the 39th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy, pp. 4856-4860. IEEE (May 2014)
-
(2014)
Proceedings of the 39Th IEEE International Conference on Acoustics, Speech, and Signal Processing
, pp. 4856-4860
-
-
Bruckner, R.1
Schuller, B.2
-
8
-
-
84908474684
-
Transfer Learning Emotion Manifestation Across Music and Speech
-
Beijing, China, IEEE, July
-
Coutinho, E., Deng, J., Schuller, B.: Transfer Learning Emotion Manifestation Across Music and Speech. In: Proceedings of the 2014 International Joint Conference on Neural Networks (IJCNN) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI), Beijing, China, p. 6. IEEE (July 2014)
-
(2014)
Proceedings of the 2014 International Joint Conference on Neural Networks (IJCNN) as Part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
, pp. 6
-
-
Coutinho, E.1
Deng, J.2
Schuller, B.3
-
9
-
-
84947968240
-
Confidence Measures for Speech Emotion Recog-nition: A Start
-
In: Fingscheidt, T., Kellermann, W. (eds.), Braunschweig, Germany, ITG, IEEE
-
Deng, J., Han, W., Schuller, B.: Confidence Measures for Speech Emotion Recog-nition: a Start. In: Fingscheidt, T., Kellermann, W. (eds.) Proceedings of Speech Communication; 10. ITG Symposium, Braunschweig, Germany, pp. 1-4. ITG, IEEE (2012)
-
(2012)
Proceedings of Speech Communication; 10. ITG Symposium
, pp. 1-4
-
-
Deng, J.1
Han, W.2
Schuller, B.3
-
10
-
-
84878576045
-
Confidence Measures in Speech Emotion Recognition Based on Semi-supervised Learning
-
ISCA, Portland, OR, 4 pages. ISCA, September
-
Deng, J., Schuller, B.: Confidence Measures in Speech Emotion Recognition Based on Semi-supervised Learning. In: Proceedings of the INTERSPEECH 2012, 13th Annual Conference of the International Speech Communication Association, ISCA, Portland, OR, 4 pages. ISCA (September 2012)
-
(2012)
Proceedings of the INTERSPEECH 2012, 13Th Annual Conference of the International Speech Communication Association
-
-
Deng, J.1
Schuller, B.2
-
11
-
-
84905276961
-
Introducing Shared-Hidden-Layer Autoencoders for Transfer Learning and their Application in Acoustic Emo-tion Recognition
-
ICASSP 2014, Florence, Italy, May 2014, IEEE
-
Deng, J., Xia, R., Zhang, Z., Liu, Y., Schuller, B.: Introducing Shared-Hidden-Layer Autoencoders for Transfer Learning and their Application in Acoustic Emo-tion Recognition. In: Proceedings 39th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy, May 2014, pp. 4851-4855. IEEE (2014)
-
(2014)
Proceedings 39Th IEEE International Conference on Acoustics, Speech, and Signal Processing
, pp. 4851-4855
-
-
Deng, J.1
Xia, R.2
Zhang, Z.3
Liu, Y.4
Schuller, B.5
-
12
-
-
84893302329
-
Sparse Autoencoder-based Feature Transfer Learning for Speech Emotion Recognition
-
Geneva, Switzerland, HUMAINE Association, IEEE
-
Deng, J., Zhang, Z., Marchi, E., Schuller, B.: Sparse Autoencoder-based Feature Transfer Learning for Speech Emotion Recognition. In: Proc. 5th Biannual Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013), Geneva, Switzerland, pp. 511-516. HUMAINE Association, IEEE (2013)
-
(2013)
Proc. 5Th Biannual Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013)
, pp. 511-516
-
-
Deng, J.1
Zhang, Z.2
Marchi, E.3
Schuller, B.4
-
13
-
-
84919904301
-
Linked Source and Target Domain Subspace Feature Transfer Learning - Exemplified by Speech Emotion Recognition
-
Stockholm, Sweden, IAPR, August
-
Deng, J., Zhang, Z., Schuller, B.: Linked Source and Target Domain Subspace Feature Transfer Learning - Exemplified by Speech Emotion Recognition. In: Proceedings 22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden, pp. 761-766. IAPR (August 2014)
-
(2014)
Proceedings 22Nd International Conference on Pattern Recognition (ICPR 2014)
, pp. 761-766
-
-
Deng, J.1
Zhang, Z.2
Schuller, B.3
-
14
-
-
77949522811
-
Why Does Unsupervised Pre-training Help Deep Learning?
-
Erhan, D., Bengio, Y., Courville, A., Vincent, P.-A.M.P., Bengio, S.: Why Does Unsupervised Pre-training Help Deep Learning? The Journal of Machine Learning Research 11, 625-660 (2010)
-
(2010)
The Journal of Machine Learning Research
, vol.11
, pp. 625-660
-
-
Erhan, D.1
Bengio, Y.2
Courville, A.3
Vincent, P.-A.M.P.4
Bengio, S.5
-
15
-
-
84857425012
-
Studying Self- and Active-Training Methods for Multi-feature Set Emotion Recognition
-
In: Schwenker, F., Trentin, E. (eds.), LNCS, Springer, Heidelberg
-
Esparza, J., Scherer, S., Schwenker, F.: Studying Self- and Active-Training Methods for Multi-feature Set Emotion Recognition. In: Schwenker, F., Trentin, E. (eds.) PSL 2011. LNCS, vol. 7081, pp. 19-31. Springer, Heidelberg (2012)
-
(2012)
PSL 2011
, vol.7081
, pp. 19-31
-
-
Esparza, J.1
Scherer, S.2
Schwenker, F.3
-
16
-
-
85121160753
-
A Multi-Task Approach to Continuous Five-Dimensional Affect Sensing in Natural Speech. ACM Transactions on Interactive Intelligent Systems
-
Eyben, F., Wollmer, M., Schuller, B.: A Multi-Task Approach to Continuous Five-Dimensional Affect Sensing in Natural Speech. ACM Transactions on Interactive Intelligent Systems, Special Issue on Affective Interaction in Natural Environments 2(1), 29 (2012)
-
(2012)
Special Issue on Affective Interaction in Natural Environments
, vol.2
, Issue.1
, pp. 29
-
-
Eyben, F.1
Wollmer, M.2
Schuller, B.3
-
17
-
-
84906247300
-
Active Learning for Dimensional Speech Emotion Recognition
-
Lyon, France, ISCA, August
-
Han, W., Li, H., Ruan, H., Ma, L., Sun, J., Schuller, B.: Active Learning for Dimensional Speech Emotion Recognition. In: Proceedings INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, Lyon, France, pp. 2856-2859. ISCA (August 2013)
-
(2013)
Proceedings INTERSPEECH 2013, 14Th Annual Conference of the International Speech Communication Association
, pp. 2856-2859
-
-
Han, W.1
Li, H.2
Ruan, H.3
Ma, L.4
Sun, J.5
Schuller, B.6
-
18
-
-
84864151884
-
Towards Distributed Recognition of Emotion in Speech
-
Rome, Italy, IEEE, May
-
Han, W., Zhang, Z., Deng, J., Wollmer, M., Weninger, F., Schuller, B.: Towards Distributed Recognition of Emotion in Speech. In: Proceedings 5th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2012, Rome, Italy, pp. 1-4. IEEE (May 2012)
-
(2012)
Proceedings 5Th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2012
, pp. 1-4
-
-
Han, W.1
Zhang, Z.2
Deng, J.3
Wollmer, M.4
Weninger, F.5
Schuller, B.6
-
19
-
-
84867720412
-
-
CoRR, abs/1207.0580
-
Hinton, G., Srivastava, N., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Im-proving neural networks by preventing co-adaptation of feature detectors. CoRR, abs/1207.0580 (2012)
-
(2012)
Im-Proving Neural Networks by Preventing Co-Adaptation of Feature Detectors
-
-
Hinton, G.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
20
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
Hinton, G.E., Osindero, S., Teh, Y.-W.: A fast learning algorithm for deep belief nets. Neural Computation 18(7), 1527-1554 (2006)
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
21
-
-
84907236069
-
A Research of Speech Emotion Recognition Based on Deep Belief Network and SVM
-
Huang, C., Gong, W., Fu, W., Feng, D.: A Research of Speech Emotion Recognition Based on Deep Belief Network and SVM. Mathematical Problems in Engineering, Article ID 749604, 7 (2014)
-
(2014)
Mathematical Problems in Engineering
, pp. 7
-
-
Huang, C.1
Gong, W.2
Fu, W.3
Feng, D.4
-
22
-
-
84930963132
-
EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation
-
Jirayucharoensak, S., Pan-Ngum, S., Israsena, P.: EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation. The Scientific World Journal, Article ID 627892, 10 (2014)
-
(2014)
The Scientific World Journal
, pp. 10
-
-
Jirayucharoensak, S.1
Pan-Ngum, S.2
Israsena, P.3
-
23
-
-
84892582758
-
Combining Modality Specific Deep Neural Networks for Emotion Recognition in Video
-
Sydney, Australia, ACM
-
Kahou, S.E., Pal, C., Bouthillier, X., Froumenty Gulcehre, P., Memisevic, R., Vincent, P., Courville, A., Bengio, Y.: Combining Modality Specific Deep Neural Networks for Emotion Recognition in Video. In: Proceedings of the 15th ACM In-ternational Conference on Multimodal Interaction (ICMI 2013), Sydney, Australia, pp. 543-550. ACM (2013)
-
(2013)
Proceedings of the 15Th ACM In-Ternational Conference on Multimodal Interaction (ICMI 2013)
, pp. 543-550
-
-
Kahou, S.E.1
Pal, C.2
Bouthillier, X.3
Froumenty Gulcehre, P.4
Memisevic, R.5
Vincent, P.6
Courville, A.7
Bengio, Y.8
-
24
-
-
84890526379
-
Deep learning for robust feature generation in audio-visual emotion recognition
-
Vancouver, Canada. IEEE
-
Kim, Y., Lee, H., Provost, E.M.: Deep learning for robust feature generation in audio-visual emotion recognition. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), Vancouver, Canada. IEEE (2013)
-
(2013)
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)
-
-
Kim, Y.1
Lee, H.2
Provost, E.M.3
-
26
-
-
84893307972
-
Hybrid Deep Neural Network - Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition
-
IEEE, Geneva
-
Li, L., Zhao, Y., Jiang, D., Zhang, Y., Wang, F., Gonzalez, I., Valentin, E., Sahli, H.: Hybrid Deep Neural Network - Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition. In: Proceedings Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013). IEEE, Geneva (2013)
-
(2013)
Proceedings Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013)
-
-
Li, L.1
Zhao, Y.2
Jiang, D.3
Zhang, Y.4
Wang, F.5
Gonzalez, I.6
Valentin, E.7
Sahli, H.8
-
27
-
-
84905286094
-
Rectifier Nonlinearities Improve Neural Network Acoustic Models
-
WDLASL, Atlanta, GA, USA, June
-
Maas, A., Hannun, A., Ng, A.: Rectifier Nonlinearities Improve Neural Network Acoustic Models. In: Proc. of ICML Workshop on Deep Learning for Audio, Speech, and Language Processing, WDLASL, Atlanta, GA, USA (June 2013)
-
(2013)
Proc. of ICML Workshop on Deep Learning for Audio, Speech, and Language Processing
-
-
Maas, A.1
Hannun, A.2
Ng, A.3
-
28
-
-
84910088572
-
Deep Architectures for Automatic Emotion Recognition Based on Lip Shape
-
Popovic, B., Ostrogonac, S., Delic, V., Janev, M., Stankovic, I.: Deep Architectures for Automatic Emotion Recognition Based on Lip Shape. Infotech-Jahorina 12, 939-943 (2013)
-
(2013)
Infotech-Jahorina
, vol.12
, pp. 939-943
-
-
Popovic, B.1
Ostrogonac, S.2
Delic, V.3
Janev, M.4
Stankovic, I.5
-
29
-
-
84904888645
-
Deep Learning for Emotional Speech Recognition
-
In: Martinez-Trinidad, J.F., Carrasco-Ochoa, J.A., Olvera-Lopez, J.A., Salas-Rodríguez, J., Suen, C.Y. (eds.), LNCS, Springer, Heidelberg
-
Sanchez-Gutierrez, M.E., Albornoz, E.M., Martinez-Licona, F., Rufiner, H.L., God-dard, J.: Deep Learning for Emotional Speech Recognition. In: Martinez-Trinidad, J.F., Carrasco-Ochoa, J.A., Olvera-Lopez, J.A., Salas-Rodríguez, J., Suen, C.Y. (eds.) MCPR 2014. LNCS, vol. 8495, pp. 311-320. Springer, Heidelberg (2014)
-
(2014)
MCPR 2014
, vol.8495
, pp. 311-320
-
-
Sanchez-Gutierrez, M.E.1
Albornoz, E.M.2
Martinez-Licona, F.3
Rufiner, H.L.4
God-Dard, J.5
-
31
-
-
83455238990
-
Learning Emotion-based Acoustic Features with Deep Belief Networks
-
New Paltz, NY, IEEE
-
Schmidt, E.M., Kim, Y.E.: Learning Emotion-based Acoustic Features with Deep Belief Networks. In: Proceedings 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, pp. 65-68. IEEE (2011)
-
(2011)
Proceedings 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
, pp. 65-68
-
-
Schmidt, E.M.1
Kim, Y.E.2
-
32
-
-
80051631315
-
Deep Neu-ral Networks for Acoustic Emotion Recognition: Raising the Benchmarks
-
ICASSP 2011, IEEE, Prague
-
Stuhlsatz, A., Meyer, C., Eyben, F., Zielke, T., Meier, G., Schuller, B.: Deep Neu-ral Networks for Acoustic Emotion Recognition: Raising the Benchmarks. In: Pro-ceedings 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, pp. 5688-5691. IEEE, Prague (2011)
-
(2011)
Pro-Ceedings 36Th IEEE International Conference on Acoustics, Speech, and Signal Processing
, pp. 5688-5691
-
-
Stuhlsatz, A.1
Meyer, C.2
Eyben, F.3
Zielke, T.4
Meier, G.5
Schuller, B.6
-
33
-
-
56449089103
-
Extracting and composing robust features with denoising autoencoders
-
New York, NY, USA
-
Vincent, P., Larochelle, H., Bengio, Y., Manzagol, P.-A.: Extracting and composing robust features with denoising autoencoders. In: Proc. of ICML, New York, NY, USA, pp. 1096-1103 (2008)
-
(2008)
Proc. of ICML
, pp. 1096-1103
-
-
Vincent, P.1
Larochelle, H.2
Bengio, Y.3
Manzagol, P.-A.4
-
34
-
-
84878925980
-
On the Acoustics of Emotion in Audio: What Speech, Music and Sound have in Common
-
Weninger, F., Eyben, F., Schuller, B.W., Mortillaro, M., Scherer, K.R.: On the Acoustics of Emotion in Audio: What Speech, Music and Sound have in Common. Frontiers in Psychology, Emotion Science, Special Issue on Expression of Emotion in Music and Vocal Communication 4 (Article ID 292), 1-12 (2013)
-
(2013)
Frontiers in Psychology, Emotion Science, Special Issue on Expression of Emotion in Music and Vocal Communication
, vol.4
, pp. 1-12
-
-
Weninger, F.1
Eyben, F.2
Schuller, B.W.3
Mortillaro, M.4
Scherer, K.R.5
-
35
-
-
84890471125
-
On Rectiied Linear Units for Speech Processing
-
Vancouver, Canada, May 2013, IEEE
-
Zeiler, M., Ranzato, M., Monga, R., Mao, M., Yang, K., Le, Q.V., Nguyen, P., Senior, A., Vanhoucke, V., Dean, J., Hinton, G.: On Rectiied Linear Units for Speech Processing. In: ICASSP, Vancouver, Canada, May 2013, pp. 3517-3521. IEEE (2013)
-
(2013)
ICASSP
, pp. 3517-3521
-
-
Zeiler, M.1
Ranzato, M.2
Monga, R.3
Mao, M.4
Yang, K.5
Le, Q.V.6
Nguyen, P.7
Senior, A.8
Vanhoucke, V.9
Dean, J.10
Hinton, G.11
-
36
-
-
84906253377
-
Active Learning by Label Uncertainty for Acoustic Emotion Recognition
-
Lyon, France, ISCA, August
-
Zhang, Z., Deng, J., Marchi, E., Schuller, B.: Active Learning by Label Uncertainty for Acoustic Emotion Recognition. In: Proceedings INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, Lyon, France, pp. 2841-2845. ISCA (August 2013)
-
(2013)
Th Annual Conference of the International Speech Communication Association
, pp. 2841-2845
-
-
Zhang, Z.1
Deng, J.2
Marchi, E.3
Schuller, B.4
-
37
-
-
84878381243
-
Active Learning by Sparse Instance Tracking and Classi-ier Conidence in Acoustic Emotion Recognition
-
Portland, OR, ISCA, September
-
Zhang, Z., Schuller, B.: Active Learning by Sparse Instance Tracking and Classi-ier Conidence in Acoustic Emotion Recognition. In: Proceedings INTERSPEECH 2012, 13th Annual Conference of the International Speech Communication Association, Portland, OR, p. 4. ISCA (September 2012)
-
(2012)
Proceedings INTERSPEECH 2012, 13Th Annual Conference of the International Speech Communication Association
, pp. 4
-
-
Zhang, Z.1
Schuller, B.2
-
38
-
-
84858985413
-
Unsupervised Learning in Cross-Corpus Acoustic Emotion Recognition
-
ASRU 2011, IEEE, Big Island
-
Zhang, Z., Weninger, F., Wöllmer, M., Schuller, B.: Unsupervised Learning in Cross-Corpus Acoustic Emotion Recognition. In: Proceedings 12th Biannual IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2011, pp. 523-528. IEEE, Big Island (2011)
-
(2011)
Proceedings 12Th Biannual IEEE Automatic Speech Recognition and Understanding Workshop
, pp. 523-528
-
-
Zhang, Z.1
Weninger, F.2
Wöllmer, M.3
Schuller, B.4
|