A Multimodal Emotion Detection System during Human–Robot Interaction
作者： Fernando Alonso-Martín , María Malfaz , João Sequeira , Javier Gorostiza , Miguel Salichs
DOI: 10.3390/S131115549
关键词:
摘要: … and gender outputs and their confidence values. Moreover, a novel voice activity detection … This mechanism is able to determine the start and the end of the voice locutions. In general, …
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Margaret M. Bradley, Peter J. Lang, Measuring emotion: Behavior, feeling, and physiology Oxford University Press. ,(2000)
Binbin Tu, Fengqin Yu, Bimodal Emotion Recognition Based on Speech Signals and Facial Expression Advances in Intelligent and Soft Computing. pp. 691- 696 ,(2011) , 10.1007/978-3-642-25664-6_81
Christian Küblbeck, Andreas Ernst, Tobias Ruf, A Modular Framework to Detect and Analyze Faces for Audience Measurement Systems. GI Jahrestagung. pp. 3941- 3953 ,(2009)
Geoff Wyvill, Philip McLeod, A SMARTER WAY TO FIND PITCH international computer music conference. ,vol. 2005, ,(2005)
Gerhard Rigoll, Björn W. Schuller, Andreas Wendemuth, Bogdan Vlasenko, Combining Frame and Turn-Level Information for Robust Recognition of Emotions within Speech conference of the international speech communication association. pp. 2249- 2252 ,(2007)
Roddy Cowie, Ellen Douglas-Cowie, Susie Savvidou*, Edelle McMahon, Martin Sawey, Marc Schröder, FEELTRACE: an instrument for recording perceived emotion in real time Speech and Emotion: Proceedings of the ISCA workshop. ,(2000)
Ginevra Castellano, Loic Kessous, George Caridakis, Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech Affect and Emotion in Human-Computer Interaction. pp. 92- 103 ,(2008) , 10.1007/978-3-540-85099-1_8
G. Holmes, A. Donkin, I.H. Witten, WEKA: a machine learning workbench intelligent information systems. pp. 357- 361 ,(1994) , 10.1109/ANZIIS.1994.396988
Catherine Pelachaud, Norman I Badler, Marie-Luce Viaud, Final Report to NSF of the Standards for Facial Animation Workshop ,(1994)
Robert X. Gao, Ruqiang Yan, Discrete Wavelet Transform Springer, Boston, MA. pp. 49- 68 ,(2011) , 10.1007/978-1-4419-1545-0_4