Stress and emotion recognition using log-Gabor filter analysis of speech spectrograms

Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Volumn , Issue , 2009, Pages

  He, Ling ^a   Lech, Margaret ^a   Maddage, Namunu ^a   Allen, Nicholas ^b  

^a RMIT UNIVERSITY   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AVERAGE ENERGY; CLASSIFICATION RATES; CLASSIFICATION RESULTS; DATA BASE; DATA SETS; EMOTION CLASSIFICATION; EMOTION RECOGNITION; FEATURE SELECTION; GAUSSIAN MIXTURE MODEL; LOG-GABOR FILTER; MUTUAL INFORMATIONS; SPECTROGRAMS; SPONTANEOUS SPEECH;

CLASSIFICATION (OF INFORMATION); FREQUENCY BANDS; INTELLIGENT COMPUTING; SPECTROGRAPHS; SPEECH RECOGNITION;

FEATURE EXTRACTION;

EID: 77949371117     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACII.2009.5349454     Document Type: Conference Paper

References (21)

1. Quatieri T.F., Discrete-Time Speech Signal Processing Prentice Hall PTR 2002.
2. He L., Lech M., Maddage N., and Allen N., "Emotion Recognition in Speech of Parents of Depressed Adolescents", iCBBE 2009.
3. He L., Lech M., Maddage N., Memon S., and Allen N., "Emotion Recognition in Spontaneous Speech within Work and Family Environments", iCBBE 2009.
4. He L., Lech M., Memon S., and Allen N., 2008, "Recognition of Stress in Speech Using Wavelet Analysis and Teager Energy Operator", Interspeech 2008.
5. Ezzat T., Tomaso Poggio T. Discriminative Word-Spotting Using Ordered Spectro-Temporal Patch Features, to appear, SAPA workshop, Interspeech, Brisbane, Australia, 2008.
6. Bouvrie J., Ezzat T., Poggio T., Localized Spectro-Temporal Cepstral Analysis of Speech, ICASSP, Las Vegas, Nevada, 2008.
7. Ezzat T., Bouvrie J., Poggio T., Spectro-Temporal Analysis of Speech Using 2-D Gabor Filters Interspeech, Antwerp, Belgium 2007.
8. Kleinschmidt M. 2001. "Methods for capturing spectro-temporal modulations in automatic speech recognition", Acta Acustica 2001 (8).
9. Kleinschmidt M, Hohmann V. 2003. "Sub-band SNR estimation using auditory feature processing", Speech Communication, 39(1-2): 47-63.
10. Chih T., Ru P., and Shamma S., "Multiresolution spectrotemporal analysis of complex sounds," Journal of the Acoustical Society of America, vol. 118, pp. 887-906, 2005.
11. Hanchuan, P., L. Fuhui, et al. (2005). "Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy." IEEE PA&MI, 27(8): 1226-1238.
12. He L., Lech M., Maddage N., and Allen N., "Stress Detection Using Speech Spectrograms and Sigma-pi Neuron Units", ICNC'09-FSKD'09.
13. Hansen J.H.L., Sahar Bou-Ghazale. 1997. "Getting Started with SUSAS: A Speech Under Simulated and Actual Stress Database". EUROSPEECH-97.
14. Davis B., Sheeber L, Hops H., and Tildesley E.., "Adolescent Responses to Depressive Parental Behaviors in Problem-Solving Interactions: Implications for Depressive Symptoms", Journal of Abnormal Child Psychology, vol. 28, No. 5, 2000, pp. 451-465.
15. Longoria N., Sheeber L., and Davis B., Living in Family Environments (LIFE) Coding. A Reference Manual for Coders. Oregon Research Institute, 2006.
16. Donoho D. L., 1995, "Denoising by soft thresholding", IEEE T. on Inf. Th., vol. 41: no3, pp. 613-627.
17. Lajevardi S.M., and Lech M., "Facial Expression Recognition Using a Bank of Neural Networks and Logarithmic Gabor Filters", DICTA 2008.
18. Field D.J. Relations between the statistics of natural images and the response properties of cortical cells, Jour. of the Optical Society of America, pp. 2379-2394, 1987.
19. Kwak N., Choi C., Input Feature Selection for Classification Problems. IEEE Trans. On Neural Networks, vol.13, no.1, January 2002, pp.143-159.
20. Lynch, Jr., Josenhans, J., Crochiere, R., Speech/Silence segmentation for real-time coding via rule based adaptive endpoint detection", In: IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 12, pp.1348-1351, 1987.
21. B.C.J. Moore and B.R. Glasberg (1983) "Suggested formulae for calculating auditory-filter bandwidths and excitation patterns" J. Acoust. Soc. Am. 74: 750-753.