Open Access
MATEC Web of Conferences
Volume 61, 2016
The International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2016)
Article Number 03012
Number of page(s) 4
Section Chapter 3 Information Security and Computer Science
Published online 28 June 2016
  1. L.L. Yu, Z.X. Cai, M.Y. Chens, Study on emotion feature analysis and recognition in speech signal: an overview, J. Circuits and Systems, 12,4 (2007): 76–84.
  2. Y.H. Yan, Y. Thou, Y.Q. Sun, Feature Extraction Method for Speech Emotion Recognition. China: 2010102729713 (2010).
  3. X. Mao, L.J. Chen, Speech emotion recognition based on parametric filter and fractal dimension, IEICE T INF SYST, 93,8 (2010): 2324–2326. [CrossRef]
  4. C.R. Zou, L. Zhao, Speech Emotion Recognition Method Based on Improved Fuzzy Vector Quantization. China: 2008101228062 (2008).
  5. Y. Attabi, P. Dumouchel, Anchor models for emotion recognition from speech, TAC, 4, 3 (2013): 280–290.
  6. W.M. Zheng, M.H. Xin, X.L. Wang, A novel speech emotion recognition method via incomplete sparse least square regression, IEEE SIGNAL PROC LET, 21, 5 (2014): 569–572. [CrossRef]
  7. Q. R. Mao, M. Dong, Z. W. Huang, Learning salient features for speech emotion recognition using convolutional neural networks, IEEE MULTIMEDIA, 16, 8 (2014): 2203–2213. [CrossRef]
  8. P. Ekman, W. Friesen, Facial action coding system: a technique for the measurement of facial movement. Palo Alto: Consulting Psychologists Press, (1978).
  9. L.H. Liang, H.Z. Ai, G.Y. Xu, A survey of human face detection, Chinese J. Computers, 25, 5 (2002): 449–458.
  10. Y. Rahulamathavan, RC. W. Phan, J.A. Chambers, Facial expression recognition in the encrypted domain based on local fisherdiscriminant analysis, TAC, 4, 1 (2013): 83–92.
  11. W.M. Zheng, Multi-view facial expression recognition based on group sparse reduced-rank regression, TAC, 5, 1 (2014): 71–85.
  12. P.C. Petrantonakis, L.J. Hadjileontiadis, Emotion recognition from EEG using higher order crossings, IEEE T INF TECHNOL B, 14, 2 (2010): 186–197. [CrossRef]
  13. S.L. Lin, G.Y. Liu, H.L. Zhang, Application of ACO algorithm to emotion recognition research based on RSP signal, IJCEA, 47, 2 (2011): 169–172.
  14. H. Zacharatos, H. Gatzoulis, Y.L. Chrysanthou, Automatic emotion recognition based on body movement analysis: a survey, IEEE COMPUT GRAPH, 34, 6 (2014): 35–45. [CrossRef]
  15. Z. Zeng, M. Pantic, G.I. Roisman, A survey of affect recognition methods: audio, visual, and spontaneous expressions, IEEE T PATTERN ANAL, 31, 1 (2009): 39–58. [CrossRef]
  16. J. Kim, E. Andre, Emotion recognition based on physiological changes in music listening, IEEE T PATTERN ANAL, 30, 12 (2008): 2067–2083. [CrossRef]
  17. C.W. Huang, Y. Jin, Q.Y. Wang, Multimodal emotion recognition based on speech and ECG signals, JSEU (NSE), 40, 5 (2010): 895–900.
  18. C. Busso, Z. Deng, S. Yildirim, Analysis of emotion recognition using facial expressions, speech and multimodal information, ICMI 2004, (2004): 205–211. [CrossRef]
  19. S. Hoch, F. Althoff, G. Mcglaun, Bimodal fusion of emotional data in an automotive environment, ICASSP 2005, (2005): 1085-1088.
  20. A. Sayedelahl, R. Araujo, M.S. Kamel, Audio-visual feature-decision level fusion for spontaneous emotion estimation in speech conversations, ICMEW 2013, (2013): 1–6.
  21. R. Tato, R. Santos, R. Kompe, Emotion space improves emotion recognition, ICSLP 2002, (2002): 2029–2032.