Spectral emotion profile

作者: Pouria Fewzee , Fakhri Karray

DOI: 10.1109/CCECE.2015.7129450

关键词:

摘要: Proposed in this work is the notion of spectral emotion profile. The purpose profile to highlight differences individuals expressing emotions, and make use those towards personalizing recognition emotions speech. To define profile, we have taken advantage energy distribution as a set speech features. demonstrate idea more sensible way, made two emotional datasets. Results our experimental study based on proposed show how different intervals individual speakers, well genders, vary amount which they contribute expression emotions. It also shown that using results higher prediction accuracy.

参考文章(23)
Walter F. Sendlmeier, Astrid Paeschke, Felix Burkhardt, Benjamin Weiss, M. Rolfes, A database of German emotional speech. conference of the international speech communication association. pp. 1517- 1520 ,(2005)
Robert Tibshirani, Trevor Hastie, Jerome H. Friedman, The Elements of Statistical Learning ,(2001)
Ellen Douglas-Cowie, Martin Wöllmer, Roddy Cowie, Björn W. Schuller, Florian Eyben, Data-driven Clustering in Emotional Space for Affect Recognition Using Discriminatively Trained LSTM Networks conference of the international speech communication association. pp. 1595- 1598 ,(2009)
Mark Andrew Hall, Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning international conference on machine learning. pp. 359- 366 ,(2000)
Arman Savran, Houwei Cao, Miraj Shah, Ani Nenkova, Ragini Verma, Combining video, audio and lexical indicators of affect in spontaneous conversation via particle filtering international conference on multimodal interfaces. ,vol. 2012, pp. 485- 492 ,(2012) , 10.1145/2388676.2388781
Jérémie Nicolle, Vincent Rapp, Kévin Bailly, Lionel Prevost, Mohamed Chetouani, Robust continuous prediction of human emotions using multiscale dynamic cues international conference on multimodal interfaces. pp. 501- 508 ,(2012) , 10.1145/2388676.2388783
Pouria Fewzee, Fakhri Karray, Dimensionality Reduction for Emotional Speech Recognition privacy security risk and trust. pp. 532- 537 ,(2012) , 10.1109/SOCIALCOM-PASSAT.2012.83
Pouria Fewzee, Fakhri Karray, Elastic net for paralinguistic speech recognition international conference on multimodal interfaces. pp. 509- 516 ,(2012) , 10.1145/2388676.2388784
Siqing Wu, Tiago H. Falk, Wai-Yip Chan, Automatic speech emotion recognition using modulation spectral features Speech Communication. ,vol. 53, pp. 768- 785 ,(2011) , 10.1016/J.SPECOM.2010.08.013
Bjorn Schuller, Recognizing Affect from Linguistic Information in 3D Continuous Space IEEE Transactions on Affective Computing. ,vol. 2, pp. 192- 205 ,(2011) , 10.1109/T-AFFC.2011.17