Leveraging valence and activation information via multi-task learning for categorical emotion recognition

作者: Rui Xia , Yang Liu

DOI: 10.1109/ICASSP.2015.7178983

关键词: Leverage (statistics)VisualizationMulti-task learningSpeech recognitionArtificial intelligenceEmotion classificationDeep belief networkCategorical variableValence (psychology)Training setMachine learningDeep learningComputer science

摘要: … emotion recognition lately. In this work, we propose to ap ply multi-task learning for acoustic emotion recognition … We treat the categorical emotion recognition task as the major task. For …

参考文章(27)
Björn W. Schuller, Stefan Steidl, Anton Batliner, The INTERSPEECH 2009 Emotion Challenge conference of the international speech communication association. pp. 312- 315 ,(2009)
Richard A. Caruana, Multitask learning: a knowledge-based source of inductive bias international conference on machine learning. pp. 41- 48 ,(1993) , 10.1016/B978-1-55860-307-3.50012-5
Geoffrey E. Hinton, Vinod Nair, Rectified Linear Units Improve Restricted Boltzmann Machines international conference on machine learning. pp. 807- 814 ,(2010)
Yelin Kim, Honglak Lee, Emily Mower Provost, Deep learning for robust feature generation in audiovisual emotion recognition international conference on acoustics, speech, and signal processing. pp. 3687- 3691 ,(2013) , 10.1109/ICASSP.2013.6638346
Rui Xia, Jun Deng, Bjorn Schuller, Yang Liu, Modeling gender information for emotion recognition using Denoising autoencoder international conference on acoustics, speech, and signal processing. pp. 990- 994 ,(2014) , 10.1109/ICASSP.2014.6853745
A. Metallinou, M. Wollmer, A. Katsamanis, F. Eyben, B. Schuller, S. Narayanan, Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification IEEE Transactions on Affective Computing. ,vol. 3, pp. 184- 198 ,(2012) , 10.1109/T-AFFC.2011.40
George E. Dahl, Tara N. Sainath, Geoffrey E. Hinton, Improving deep neural networks for LVCSR using rectified linear units and dropout international conference on acoustics, speech, and signal processing. pp. 8609- 8613 ,(2013) , 10.1109/ICASSP.2013.6639346
Jun Deng, Rui Xia, Zixing Zhang, Yang Liu, Bjorn Schuller, Introducing shared-hidden-layer autoencoders for transfer learning and their application in acoustic emotion recognition international conference on acoustics, speech, and signal processing. pp. 4818- 4822 ,(2014) , 10.1109/ICASSP.2014.6854517
Samira Ebrahimi Kanou, Raul Chandias Ferrari, Mehdi Mirza, Sébastien Jean, Pierre-Luc Carrier, Yann Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Christopher Pal, Guillaume Desjardins, Razvan Pascanu, David Warde-Farley, Atousa Torabi, Arjun Sharma, Emmanuel Bengio, Kishore Reddy Konda, Zhenzhou Wu, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre, Roland Memisevic, Pascal Vincent, Aaron Courville, Yoshua Bengio, Combining modality specific deep neural networks for emotion recognition in video Proceedings of the 15th ACM on International conference on multimodal interaction - ICMI '13. pp. 543- 550 ,(2013) , 10.1145/2522848.2531745