| Li, Y., Zhao, Y.: Recognizing Emotions in Speech Using Short-term and Long-term Features. In: Proceedings of the International Conference on Spoken Language Processing. Volume 6., Sydney (1998) 2255--2258 |
....students, are asked to read the same sentence simulating different emotions like fear, anger, happiness or sorrow. The task in most of these studies is to distinguish between the different emotions with the help of prosodic features like fundamental frequency, energy contours or speaking rate [12, 13, 11, 6, 1, 10]. With data from such an actor scenario such so called basic emotions can be classified automatically. For the two classes emotion (class E) and neutral (class :E) with data from an actor scenario and the use of prosodic features and neural networks as classifier we achieved a classification rate ....
Y. Li and Y. Zhao. Recognizing emotions in speech using short-term and long-term features. In Proc. Int. Conf. on Spoken Language Processing, volume 6, Sydney, Austrailien, 1998.
No context found.
Li, Y., Zhao, Y.: Recognizing Emotions in Speech Using Short-term and Long-term Features. In: Proceedings of the International Conference on Spoken Language Processing. Volume 6., Sydney (1998) 2255--2258
No context found.
Y. Li and Y. Zhao, "Recognizing emotions in speech using short-term and long-term features," in Proc. ICSLP, 1998, pp. 2255--2258.
No context found.
Li, Y., Zhao, Y.: Recognizing Emotions in Speech Using Short-term and Long-term Features. In: Proceedings of the International Conference on Spoken Language Processing. Volume 6., Sydney (1998) 2255--2258
No context found.
Li, Y. and Zhao, Y. (1998). Recognizing Emotions in Speech Using Short-term and Long-term Features. In Proc. Int. Conf. on Spoken Language Processing, volume 6, pages 2255--2258, Sydney.
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