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Data Augmentation for Audio-Visual Emotion Recognition ...
https://www.mdpi.com/2076-3417/12/1/527#:~:text=Abstract%20Audio-visual%20emotion%20recognition%20is%20the%20research%20of,plays%20an%20important%20role%20in%20intelligent%20human-machine%20interactions.
(PDF) Audio-visual based emotion recognition - a new …
https://www.researchgate.net/publication/4082330_Audio-visual_based_emotion_recognition_-_a_new_approach
Audio-visual based emotion recognition - a new approach January 2004 Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and …
Audio-visual based emotion recognition-a new approach ...
https://dl.acm.org/doi/10.5555/1896300.1896449
Home Browse by Title Proceedings CVPR'04 Audio-visual based emotion recognition-a new approach. Article . Free Access. Audio-visual based emotion recognition-a new approach. Share on. Authors: Mingli Song. College of Computer Science, Zhejiang University, Hangzhou, P.R.China.
Audio-visual based emotion recognition - a new approach
https://www.computer.org/csdl/proceedings-article/cvpr/2004/01315276/12OmNBZpH7L
Emotion recognition is one of the latest challenges in intelligent human/computer communication. Most of the previous work on emotion recognition focused on extracting emotions from visual or audio information separately. A novel approach is presented in this paper, including both visual and audio from video clips, to recognize the human emotion.
A new approach of audio emotion recognition - …
https://www.sciencedirect.com/science/article/pii/S0957417414001638
Abstract. A new architecture of intelligent audio emotion recognition is proposed in this paper. It fully utilizes both prosodic and spectral features in its design. It has two main paths in parallel and can recognize 6 emotions. Path 1 is designed based on intensive analysis of different prosodic features.
(PDF) Audio-visual emotion recognition: A dynamic ...
https://www.researchgate.net/publication/278627155_Audio-visual_emotion_recognition_A_dynamic_multimodal_approach
Audio-visual emotion recognition: A dynamic, multimodal approach. J eremie Nicolle 1 Vi ncent Rapp 1 Kevin Bailly 1 Lionel Prevost 2 Mohamed Chetouani 1. 1 Univ. Pierre et Marie Curie ISIR ...
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