Comparative Analysis of Emotion Detection from Facial Expressions and Voice Using Local Binary Patterns and Markov Models-Reference-Cited by-同舟云学术

Comparative Analysis of Emotion Detection from Facial Expressions and Voice Using Local Binary Patterns and Markov Models

Published:2018-08-27 Issue: Volume: Page:
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Container-title:Proceedings of the 2nd International Conference on Vision, Image and Signal Processing
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Author:

Chengeta Kennedy¹

Affiliation:

1. University of KwaZulu-Natal, School of Computer Science and Mathematics, Westville Campus, Durban, South Africa

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3271553.3271574

Reference21 articles.

1. Acevedo Daniel and Negri Pablo and Elena Buemi María and Gómez Fernández Francisco and Mejail Marta. (2018). k-NN Approach for Facial Expression Recognition. 1--9. Acevedo Daniel and Negri Pablo and Elena Buemi María and Gómez Fernández Francisco and Mejail Marta. (2018). k-NN Approach for Facial Expression Recognition. 1--9.

2. Björn W. Schuller. 2018. Speech emotion recognition: two decades in a nutshell benchmarks and ongoing trends. Commun. ACM 61 5 (April 2018) 90--99. 10.1145/3129340 Björn W. Schuller. 2018. Speech emotion recognition: two decades in a nutshell benchmarks and ongoing trends. Commun. ACM 61 5 (April 2018) 90--99. 10.1145/3129340

3. C. Padgett and G. W. Cottrell "Representing face images for emotion classification " Advances in neural information processing systems pp. 894--900 1997. C. Padgett and G. W. Cottrell "Representing face images for emotion classification " Advances in neural information processing systems pp. 894--900 1997.

4. J. Deng X. Xu Z. Zhang S. Frühholz and B. Schuller "Semisupervised Autoencoders for Speech Emotion Recognition " in IEEE/ACM Transactions on Audio Speech and Language Processing vol. 26 no. 1 pp. 31--43 Jan. 2018. 10.1109/TASLP.2017.2759338 J. Deng X. Xu Z. Zhang S. Frühholz and B. Schuller "Semisupervised Autoencoders for Speech Emotion Recognition " in IEEE/ACM Transactions on Audio Speech and Language Processing vol. 26 no. 1 pp. 31--43 Jan. 2018. 10.1109/TASLP.2017.2759338

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