Ensemble Models for Enhancement of an Arabic Speech Emotion Recognition System-Reference-Cited by-同舟云学术

Ensemble Models for Enhancement of an Arabic Speech Emotion Recognition System

Published:2019-02-02 Issue: Volume: Page:174-187
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Zantout Rached,Klaylat Samira,Hamandi Lama,Osman Ziad

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-12385-7_15

Reference30 articles.

1. Batliner, A., Schuller, B., Seppi, D., Steidl, S., Devillers, L., Vidrascu, L., Vogt, T., Aharonson, V., Amir, N.: The automatic recognition of emotions in speech. In: Petta, P., Pelachaud, C., Cowie, R. (eds.) Emotion-Oriented Systems, pp. 71–99. Springer, Berlin (2011)

2. Lecture Notes in Computer Science;G Valentini,2002

3. Klaylat, S., Osman, Z., Zantout, R., Hamandi, L.: Emotion Recognition in Arabic Speech. Analog. Integr. Circuits Signal Process., Springer, 96(2), 337–351 (2018)

4. Klaylat, S., Hamandi, L., Zantout, R., Osman, Z.: Arabic natural audio dataset. MendeleyData, v1, http://dx.doi.org/10.17632/xm232yxf7t.1 , Mendeley Data Website

5. Melville, P., Shah, N., Mihalkova, L., Mooney, R.J.: Experiments on ensembles with missing and noisy data. In: International Workshop on Multiple Classifier Systems, pp. 293–302. Springer, Heidelberg (2004)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning, Ensemble and Supervised Machine Learning for Arabic Speech Emotion Recognition;Engineering, Technology & Applied Science Research;2024-04-02

2. Survey on Arabic speech emotion recognition;International Journal of Speech Technology;2024-03