Emotion detection in speech using deep networks

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2014, Pages 3724-3728

  Amer, Mohamed R ^a   Siddiquie, Behjat ^a   Richey, Colleen ^a   Divakaran, Ajay ^a  

^a SRI INTERNATIONAL   (United States)

Author keywords

CRBMs; CRF; Deep Networks; Emotion Recognition; Hybrid Models

Indexed keywords

IMAGE RETRIEVAL; SIGNAL PROCESSING;

CRBMS; CRF; DISCRIMINATIVE CLASSIFIERS; DISCRIMINATIVE MODELS; EMOTION DETECTION; EMOTION RECOGNITION; HYBRID MODEL; TEMPORAL DYNAMICS;

SPEECH RECOGNITION;

EID: 84905252886     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6854297     Document Type: Conference Paper

References (32)

1. D. Litman and K. Forbes, "Recognizing emotions from student speech in tutoring dialogues," in ASRU, 2003.
2. P. Belin, S. Fillion-Bilodeau, and F. Gosselin, "The montreal affective voices: A validated set of nonverbal affect bursts for research on auditory affective processing," in Behavior Research Methods, 2008.
3. A. Stuhlsatz, C. Meyer, F. Eyben, T. ZieIke, G. Meier, and B. Schuller, "Deep neural networks for acoustic emotion recognition: Raising the benchmarks," in ICASSP, 2011.
4. B. Schuller and et al., "Avec 2011-the first international audio visual emotion challenge," in ACII, 2011.
5. G. Ramirez, T. Baltrusaitis, and L. P. Morency, "Modeling latent discriminative dynamic of multi-dimensional affective signals," in ACII, 2011.
6. B. Siddiquie, S. Khan, A. Divakaran, and H. Sawhney, "Affect analysis in natural human interactions using joint hidden conditional random fields," in ICME, 2013.
7. Bjorn Schuller, Bogdan Vlasenko, Florian Eyben, Gerhard Rigoll, and Andreas Wendemuth, "Acoustic emotion recognition: A benchmark comparison of performances," in ASRU, 2009.
8. M. Glodek and et al., "Multiple classifier systems for the classification of audio-visual emotional states," in ACII, 2011.
9. Y. Bengio, "Learning deep architectures for ai," in FTML, 2009.
10. L. Deng, G. Hinton, and B. Kingsbury, "New types of deep neural network leaning for speech recognition and related applications: An overview," in ICASSP, 2013.
11. L. Deng and D. Yu, "Deep learning for signal and information processing," in FTML, 2013.
12. L. Zhu, Y. H. Chen, and A. Yuille, "Recursive compositional models for computer vision," Journal of Mathematical Imaging and Vision, 2011.
13. G. E. Hinton, S. Osindero, and Y. W. Teh, "A fast learning algorithm for deep belief nets," in NC, 2006.
14. J. Ngiam, A. Khosla, M. Kim, J. Nam, H. Lee, and A.Y. Ng, "Multimodal deep learning," in ICML, 2011.
15. Yelin Kim, Honglak Lee, and Emily Mower Provost, "Deep learning for robust feature generation in audiovisual emotion recognition," in ICASSP, 2013.
16. G.W. Taylor and et. al., "Modeling human motion using binary latent variables," in NIPS, 2007.
17. I. Sutskever and G. E. Hinton, "Learning multilevel distributed representations for high-dimensional sequences," in AISTATS, 2007.
18. A. R. Mohamed and G. E. Hinton, "Phone recognition using restricted boltzmann machines," in ICASSP, 2009.
19. N. B. Lewandowski, Y. Bengio, and P. Vincent, "Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription," in ICML, 2012.
20. L. Deng, D. Yu, and J. Platt, "Scalable stacking and learning for building deep architectures," in Interspeech, 2012.
21. B. Hutchinson, L. Deng, and D. Yu, "Tensor deep stacking networks," in TPAMI, 2013.
22. G. Dahl, D. Yu, L. Deng, and A. Acero, "Contextdependent pre-trained deep neural networks for large vocabulary speech recognition," in ICASSP, 2012.
23. F. Seide, G. Li, and D. Yu, "Conversational speech transcription using context-dependent deep neural networks," in Interspeech, 2011.
24. N. Smith and M. Gales, "Speech recognition using svms," in NIPS, 2002.
25. A. Fujino, N. Ueda, and K. Saito, "Semi-supervised learning for a hybrid generative/discriminative classifier based on the maximum entropy principle," in TPAMI, 2008.
26. H. Larochelle and Y. Bengio, "Classification using discriminative restricted boltzmann machines," in ICML, 2008.
27. M. R. Amer, B. Siddiquie, S. Khan, A. Divakaran, and H. Sawhney, "Multimodal fusion using dynamic hybrid models," in WACV, 2014.
28. J. Lafferty, A. McCallum, and F. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," in ICML, 2001.
29. G. E. Hinton, "Training products of experts by minimizing contrastive divergence," in NC, 2002.
30. Mark Schmidt, "Ugm: Matlab code for undirected graphical models," 2012.
31. M. Grimm, K. Kroschel, and S. Narayanan, "The vera am mittag german audio-visual emotional speech database," in ICME, 2008.
32. Florian Eyben, Martin Wollmer, and Bjorn Schuller, "opensmile: The munich versatile and fast open-source audio feature extractor," in ACM MM, 2010.