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A study of speech emotion recognition and its application to mobile services
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Springer
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How's my mood and stress?: An efficient speech analysis library for unobtrusive monitoring on mobile phones
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Tokyo, Japan
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A speech mashup framework for multimodal mobile services
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Rethinking speech recognition on mobile devices
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Citeseer
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Towards distributed recognition of emotion in speech
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Rome, Italy: IEEE, May
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W. Han, Z. Zhang, J. Deng, M. Wollmer, F. Weninger, and B. Schuller, "Towards Distributed Recognition of Emotion in Speech," in Proceedings 5th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2012. Rome, Italy: IEEE, May 2012, pp. 1-4.
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Distributing recognition in computational paralinguistics
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Z. Zhang, E. Coutinho, J. Deng, and B. Schuller, "Distributing Recognition in Computational Paralinguistics," IEEE Transactions on Affective Computing, 2014, 14 pages, to appear.
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IEEE Transactions on Affective Computing
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Zhang, Z.1
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Emotionsense: A mobile phones based adaptive platform for experimental social psychology research
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K. K. Rachuri, M. Musolesi, C. Mascolo, P. J. Rentfrow, C. Longworth, and A. Aucinas, "Emotionsense: a mobile phones based adaptive platform for experimental social psychology research," in Proceedings of the 12th ACM international conference on Ubiquitous computing. ACM, 2010, pp. 281-290.
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Recent developments in opensmile, the munich open-source multimedia feature extractor
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F. Eyben, F. Weninger, F. Gross, and B. Schuller, "Recent developments in opensmile, the munich open-source multimedia feature extractor," in Proc. of MM. ACM, pp. 835-838.
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Proc. of MM. ACM
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Real-life voice activity detection with LSTM recurrent neural networks and an application to Hollywood movies
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F. Eyben, F. Weninger, S. Squartini, and B. Schuller, "Real-life Voice Activity Detection with LSTM Recurrent Neural Networks and an Application to Hollywood Movies," in Proceedings 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013. Vancouver, Canada: IEEE, 2013, pp. 483-487.
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OpenSMILE: The munich open-source large-scale multimedia feature extractor
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F. Eyben and B. Schuller, "openSMILE: The Munich Open-Source Large-Scale Multimedia Feature Extractor," ACM SIGMM Records, vol. 6, no. 4, December 2014.
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ACM SIGMM Records
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What should a generic emotion markup language be able to represent
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Springer
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M. Schroder, L. Devillers, K. Karpouzis, J.-C. Martin, C. Pelachaud, C. Peter, H. Pirker, B. Schuller, J. Tao, and I. Wilson, "What should a generic emotion markup language be able to represent?" in Affective Computing and Intelligent Interaction. Springer, 2007, pp. 440-451.
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The geneva minimalistic acoustic parameter set (GEMAPS) for voice research and affective computing
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to appear
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F. Eyben, K. Scherer, B. Schuller, J. Sundberg, and others., "The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing," IEEE Transactions on Affective Computing (TAC), 2015, to appear.
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The INTERSPEECH 2009 emotion challenge
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Brighton, UK, Sep.
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The INTERSPEECH 2013 computational paralinguistics challenge: Social signals, conflict, emotion, autism
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Lyon, France: ISCA
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The INTERSPEECH 2014 computational paralinguistics challenge: Cognitive &physical load
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Singapore, Singapore: ISCA
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B. Schuller, S. Steidl, A. Batliner, J. Epps, F. Eyben, F. Ringeval, E. Marchi, and Y. Zhang, "The INTERSPEECH 2014 Computational Paralinguistics Challenge: Cognitive &Physical Load," in Proceedings INTERSPEECH 2014. Singapore, Singapore: ISCA, 2014.
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The INTERSPEECH 2015 computational paralinguistics challenge: Degree of nativeness, Parkinson's &eating condition
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Dresden, Germany: ISCA, September
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B. Schuller, S. Steidl, A. Batliner, S. Hantke, F. Honig, J. R. Orozco-Arroyave, E. Noth, Y. Zhang, and F. Weninger, "The INTERSPEECH 2015 Computational Paralinguistics Challenge: Degree of Nativeness, Parkinson's &Eating Condition," in Proceedings INTERSPEECH 2015. Dresden, Germany: ISCA, September 2015, 5 pages, to appear.
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The computational paralinguistics challenge
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Cooperative learning and its application to emotion recognition from speech
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Z. Zhang, E. Coutinho, J. Deng, and B. Schuller, "Cooperative Learning and its Application to Emotion Recognition from Speech," IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 23, no. 1, pp. 115-126, 2015.
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IEEE/ACM Transactions on Audio, Speech and Language Processing
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