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Several methods have recently been proposed to analyze speech and automatically infer the personality of the speaker.
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2006
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F. Mairesse, M. A. Walker, M. R. Mehl, and R. K. Moore, “Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text,” J. Artif. Int. Res. , vol. 30, no. 1, pp. 457–500, Nov. 2007
2007
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R. B. Grosse, R. Raina, H. Kwong, and A. Y. Ng, “Shift-Invariance Sparse Coding for Audio Classification,” 23rd Conf. Uncertain. Artif. Intell. , 2007
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A. Vinciarelli, F. Burkhardt, R. V. Son, F. Weninger, F. Eyben, T. Bocklet, G. Mohammadi, and B. Weiss, “The Interspeech 2012 Speaker Trait Challenge,” in Proc. Annu. Conf. of the Int. Speech Commun. Assoc. , Portland, USA, 2012
2012
Later among the works it cites.
C. Chastagnol and L. Devillers, “Personality Traits Detection Using a Parallelized Modified SFFS Algorithm,” in Proc. Annu. Conf. of the Int. Speech Commun. Assoc. , Portland, USA, 2012
2012
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D. Wu, “Genetic algorithm based feature selection for speaker trait classification,” in Proc. Annu. Conf. of the Int. Speech Commun. Assoc. , Portland, USA, 2012
2012
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J. Pohjalainen, S. Kadioglu, and R. Okko, “Feature Selection for Speaker Traits,” in Proc. Annu. Conf. of the Int. Speech Commun. Assoc. , Portland, USA, 2012
2012
Later among the works it cites.
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B. Rammstedt and O. P. John, “Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German,” J. of Res. in Personality , vol. 41, no. 1, pp. 203–212, feb 2007
2007
Cited alongside, same era.
A. Tapus and M. J. Mataric, “Socially Assistive Robots: The Link between Personality, Empathy, Physiological Signals, and Task Performance.” in Assoc. for the Adv. of Artif. Int. Spring Symp. , 2008
2008
Cited alongside, same era.
R. E. Guadagno, B. M. Okdie, and C. A. Eno, “Who blogs? Personality predictors of blogging,” Computers in Human Behavior , vol. 24, no. 5, pp. 1993–2004, Sep. 2008
2008
Cited alongside, same era.
I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld, “Learning realistic human actions from movies,” in IEEE Conf. on Computer Vis. and Patt. Recog. , 2008
2008
Cited alongside, same era.
S. Mallat, A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way , 3rd ed. Academic Press, 2008
2008
Cited alongside, same era.
K. T. Schutte, “Parts-based Models and Local Features for Automatic Speech Recognition,” Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge, USA, 2009
2009
Cited alongside, same era.
T. Muroi, R. Takashima, T. Takiguchi, and Y. Ariki, “Gradient-based acoustic features for speech recognition,” in Proc. Int. Symp. on Intelligent Signal Process. and Commun. Systems , jan 2009
2009
Cited alongside, same era.
H. Lee, P. Pham, Y. Largman, and A. Y. Ng, “Unsupervised feature learning for audio classification using convolutional deep belief networks,” in Adv. in Neur. Inf. Proces. Syst. 22 , 2009
2009
Cited alongside, same era.
V. Ivanov and X. Chen, “Modulation Spectrum Analysis for Speaker Personality Trait Recognition,” in Proc. Annu. Conf. of the Int. Speech Commun. Assoc. , Portland, USA, 2012
2012
Later among the works it cites.
G. Mohammadi and A. Vinciarelli, “Automatic Personality Perception: Prediction of Trait Attribution Based on Prosodic Features,” IEEE Trans. Affective Computing , vol. 3, no. 3, pp. 273–284, Jul. 2012
2012
Later among the works it cites.
N. Morgan, “Deep and wide: Multiple layers in automatic speech recognition,” IEEE Trans. on Audio, Speech, and Lang. Proces. , vol. 20, no. 1, pp. 7–13, jan 2012
2012
Later among the works it cites.
A. r. Mohamed, G. E. Dahl, and G. Hinton, “Acoustic modeling using deep belief networks,” IEEE Trans. on Audio, Speech, and Lang. Proces. , vol. 20, no. 1, pp. 14–22, jan 2012
2012
Later among the works it cites.
H. Buisman and E. Postma, “BNAIC: The log-gabor method: Speech classification using spectrogram image analysis,” in Proc. Annu. Conf. of the Int. Speech Commun. Assoc. , Portland, USA, 2012
2012
Later among the works it cites.
A. Rosenberg, “Classifying Skewed Data: Importance Weighting to Optimize Average Recall.” in Proc. Annu. Conf. of the Int. Speech Commun. Assoc. , Portland, USA, 2012
2012
Later among the works it cites.
C. Montacié and M.-j. Caraty, “Pitch and Intonation Contribution to Speakers ’ Traits Classification,” in Proc. Annu. Conf. of the Int. Speech Commun. Assoc. , Portland, USA, 2012
2012
Later among the works it cites.
F. Eyben, F. Weninger, F. Gross, and B. Schuller, “Recent Developments in openSMILE, the Munich Open-source Multimedia Feature Extractor,” in Proc. of the ACM Int. Conf. on Multimedia . ACM, 2013, pp. 835–838
2013
Later among the works it cites.
Y. Kim, H. Lee, and E. M. Provost, “Deep learning for robust feature generation in audiovisual emotion recognition,” in 2013 IEEE Int. Conf. on Acoustics, Speech and Signal Proces. , may 2013
2013
Later among the works it cites.
J. Deng, Z. Zhang, E. Marchi, and B. Schuller, “Sparse autoencoder-based feature transfer learning for speech emotion recognition,” in Proc. Humaine Assoc. Conf. Affective Comp. and Intel. Interaction (ACII), , sep 2013
2013
Later among the works it cites.
J. W. Dennis, “Sound Event Recognition in Unstructured Environments using Spectrogram Image Processing,” Ph.D. dissertation, Nanyang Technological University, 2014
2014
Later among the works it cites.
S. Steidl, A. Batliner, S. Hantke, J. R. Orozco-arroyave, Y. Zhang, and F. Weninger, “The Interspeech 2015 Computational Paralinguistics Challenge: Nativeness, Parkinson’s & Eating Condition,” in Proc. Annu. Conf. of the Int. Speech Commun. Assoc. , Dresden, Germany, 2015
2015
Later among the works it cites.
B. Schuller, S. Steidl, A. Batliner, E. Nöth, A. Vinciarelli, F. Burkhardt, R. van Son, F. Weninger, F. Eyben, T. Bocklet, G. Mohammadi, and B. Weiss, “A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge,” Computer Speech & Lang. , vol. 29, no. 1, pp. 100–131, jan 2015
2015
Later among the works it cites.
R. V. Sharan and T. J. Moir, “Subband Time-Frequency Image Texture Features for Robust Audio Surveillance,” IEEE Trans. Inf. Forens. Security , vol. 10, no. 12, pp. 2605–2615, dec 2015
2015
Later among the works it cites.
Y. Gu, E. Postma, and H.-X. Lin, “Vocal Emotion Recognition with Log-Gabor Filters,” in Proc. of the 5th Int. Workshop on Audio/Visual Emotion Challenge , New York, USA, 2015
2015
Later among the works it cites.
M.-A. Carbonneau, A. J. Raymond, E. Granger, and G. Gagnon, “Real-time visual play-break detection in sport events using a context descriptor,” in Proc. IEEE Int. Symp. on Circuits and Systems , ser. ISCAS, may 2015
2015
Later among the works it cites.
F. Eyben, K. R. Scherer, B. W. Schuller, J. Sundberg, E. André, C. Busso, L. Y. Devillers, J. Epps, P. Laukka, S. S. Narayanan, and K. P. Truong, “The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing,” IEEE Trans. Affective Computing , vol. 7, no. 2, pp. 190–202, apr 2016
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