Vocal-based emotion recognition using random forests and decision tree-Reference-Cited by-同舟云学术

Vocal-based emotion recognition using random forests and decision tree

Published:2017-02-09 Issue:2 Volume:20 Page:239-246
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Noroozi Fatemeh,Sapiński Tomasz,Kamińska Dorota,Anbarjafari Gholamreza^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Link

http://link.springer.com/article/10.1007/s10772-017-9396-2/fulltext.html

Reference52 articles.

1. Anagnostopoulos, C. N., Iliou, T., & Giannoukos, I. (2015). Features and classifiers for emotion recognition from speech: A survey from 2000 to 2011. Artificial Intelligence Review, 43(2), 155–177.

2. Anbarjafari, G., & Aabloo, A. (2014). Expression recognition by using facial and vocal expressions. V&L Net, 2014, 103–105.

3. Atassi, H., Esposito, A., Smekal, Z. (2011). Analysis of high-level features for vocal emotion recognition. In 2011 34th international conference on telecommunications and signal processing (TSP) (pp. 361–366). IEEE

4. Bahreini, K., Nadolski, R., Westera, W. (2013). Filtwam and voice emotion recognition. In Games and learning alliance (vol. 8605, pp. 116–129). Springer.

5. Bellantonio, M., Haque, M. A., Rodriguez, P., Nasrollahi, K., Telve, T., Escarela, S., Gonzalez, J., Moeslund, T. B., Rasti, P., Anbarjafari, G. (2016). Spatio-temporal pain recognition in cnn-based super-resolved facial images. In International conference on pattern recognition (ICPR). Springer.

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