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2009 Seventh International Conference on Advances in Pattern Recognition
Variational Gaussian Mixture Models for Speech Emotion Recognition
February 04-February 06
ISBN: 978-0-7695-3520-3
| ASCII Text | x | ||
| Harendra Kumar Mishra, C. Chandra Sekhar, "Variational Gaussian Mixture Models for Speech Emotion Recognition," Advances in Pattern Recognition, International Conference on, pp. 183-186, 2009 Seventh International Conference on Advances in Pattern Recognition, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/ICAPR.2009.89, author = {Harendra Kumar Mishra and C. Chandra Sekhar}, title = {Variational Gaussian Mixture Models for Speech Emotion Recognition}, journal ={Advances in Pattern Recognition, International Conference on}, volume = {0}, year = {2009}, isbn = {978-0-7695-3520-3}, pages = {183-186}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICAPR.2009.89}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Advances in Pattern Recognition, International Conference on TI - Variational Gaussian Mixture Models for Speech Emotion Recognition SN - 978-0-7695-3520-3 SP183 EP186 A1 - Harendra Kumar Mishra, A1 - C. Chandra Sekhar, PY - 2009 KW - Variational Gaussian Mixture Models KW - Emotion Recognition VL - 0 JA - Advances in Pattern Recognition, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAPR.2009.89
In this paper applicability of variational methods for estimation of parameters of models used for speech emotion recognition is discussed.When the amount of data available is not adequate for training complex models, variational Bayesian method helps in training models with less amount of data. It also helps in determining the optimal complexity of the model. Our studies on Berlin emotional speech database show that variational methods perform better than maximum likelihood approach to estimate parameters of Gaussian mixture models used in speech emotion recognition.
Index Terms:
Variational Gaussian Mixture Models, Emotion Recognition
Citation:
Harendra Kumar Mishra, C. Chandra Sekhar, "Variational Gaussian Mixture Models for Speech Emotion Recognition," icapr, pp.183-186, 2009 Seventh International Conference on Advances in Pattern Recognition, 2009
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