Prediction of Shared Laughter for Human-Robot Dialogue
Author:
Affiliation:
1. Kyoto University, Kyoto, Japan
Funder
Japan Society for the Promotion of Science
Japan Science and Technology Agency
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3395035.3425265
Reference26 articles.
1. Zahid Akhtar Stefany Bedoya and Tiago H Falk. 2018. Improved Audio-Visual Laughter Detection Via Multi-Scale Multi-Resolution Image Texture Features and Classifier Fusion. In International Conference on Acoustics Speech and Signal Processing (ICASSP). 3106--3110. Zahid Akhtar Stefany Bedoya and Tiago H Falk. 2018. Improved Audio-Visual Laughter Detection Via Multi-Scale Multi-Resolution Image Texture Features and Classifier Fusion. In International Conference on Acoustics Speech and Signal Processing (ICASSP). 3106--3110.
2. Laughter Classification Using 3D Convolutional Neural Networks
3. Dario Bertero and Pascale Fung. 2016. A long short-term memory framework for predicting humor in dialogues. In North American Chapter of the Association for Computational Linguistics (NAACL). 130--135. Dario Bertero and Pascale Fung. 2016. A long short-term memory framework for predicting humor in dialogues. In North American Chapter of the Association for Computational Linguistics (NAACL). 130--135.
4. Time for laughter
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1. Can a robot laugh with you?: Shared laughter generation for empathetic spoken dialogue;Frontiers in Robotics and AI;2022-09-15
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