Laughter Classification Using 3D Convolutional Neural Networks-Reference-Cited by-同舟云学术

Laughter Classification Using 3D Convolutional Neural Networks

Published:2019-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 3rd International Conference on Advances in Artificial Intelligence
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Author:

Ataollahi Faramarz¹,Suarez Merlin Teodosia¹

Affiliation:

1. College of Computer Studies, De La Salle University, Manila, Philippines

Publisher

ACM

Reference27 articles.

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2. ATAOLLAHI F. and SUAREZ M.T. 2016. Comparing Affect Recognition in Peaks and Onset of Laughter Springer International Publishing Cham 98--107. ATAOLLAHI F. and SUAREZ M.T. 2016. Comparing Affect Recognition in Peaks and Onset of Laughter Springer International Publishing Cham 98--107.

3. Audiovisual Affect Recognition in Spontaneous Filipino Laughter

4. Spoken Emotion Classification Using ToBI Features and GMM

5. 2007 14th International Workshop on Systems Signals and Image Processing and 6th EURASIP Conference focused on Speech and Image Processing Multimedia Communications and Services IEEE 495--498 2007 14th International Workshop on Systems Signals and Image Processing and 6th EURASIP Conference focused on Speech and Image Processing Multimedia Communications and Services IEEE 495--498 K.M. KUDIRI G.K. VERMA B. GOHEL Relative amplitude based features for emotion detection from speech. I[12] ILIEV A.I. ZHANG Y. and SCORDILIS M.S. 2007. Spoken emotion classification using ToBI features and GMM 2010

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2. Can a robot laugh with you?: Shared laughter generation for empathetic spoken dialogue;Frontiers in Robotics and AI;2022-09-15

3. Prediction of Shared Laughter for Human-Robot Dialogue;Companion Publication of the 2020 International Conference on Multimodal Interaction;2020-10-25