Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing-Reference-Cited by-同舟云学术

Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing

Published:2007 Issue: Volume: Page:139-147
ISSN:0302-9743
Container-title:Affective Computing and Intelligent Interaction
language:
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Author:

Vlasenko Bogdan,Schuller Björn,Wendemuth Andreas,Rigoll Gerhard

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-74889-2_13

Reference14 articles.

1. Polzin, T.S., Waibel, A.: Detecting emotions in speech, Cooperative Multimodal Communication. In: 2nd Int. Conf. 1998, CMC (1998)

2. Schuller, B., Rigoll, G., Lang, M.: Hidden Markov Model-Based Speech Emotion Recognition. In: Proc. ICASSP 2003, IEEE, Hong Kong, China, vol. II, pp. 1–4 (2003)

3. Lee, Z., Zhao, Y.: Recognition emotions in speech using short-term and long-term features. In: Proc. ICSLP, pp. 2255–2558 (1998)

4. Jiang, D.N., Cai, L.-H.: Speech emotion classification with the combination of statistic features and temporal features. In: Proc. ICME 2004, IEEE, Taipei, Taiwan, pp. 1967–1971 (2004)

5. Murray, L.R., Arnot, I.L.: Toward the simulation of emotion in synthetic speech: A review of the literature of humans vocal emotion. JASA 93(2), 1097–1108 (1993)

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