Automatic speech emotion recognition using modulation spectral features

Author:

Wu Siqing,Falk Tiago H.,Chan Wai-Yip

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference60 articles.

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3. Joint acoustic and modulation frequency;Atlas;EURASIP J. Appl. Signal Process.,2003

4. Barra, R., Montero, J., Macias-Guarasa, J., D’Haro, L., San-Segundo, R., Cordoba, R., 2006. Prosodic and segmental rubrics in emotion identification. In: Proc. Internat. Conf. on Acoustics, Speech and Signal Processing, Vol. 1, pp. 1085–1088.

5. Batliner, A., Steidl, S., Schuller, B., Seppi, D., Laskowski, K., Vogt, T., Devillers, L., Vidrascu, L., Amir, N., Kessous, L., Aharonson, V., 2006. Combining efforts for improving automatic classification of emotional user states. In: Proc. IS-LTC, pp. 240–245.

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