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M-SENA is an open-sourced platform for Multimodal Sentiment Analysis.
A multimodal emotion sensing platform for building emotion-aware applications
Daniel McDuff, Kael Rowan, Piali Choudhury, Jessica Wolk, ThuVan Pham, and Mary Czerwinski. 2019 · 1903
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Mediapipe: A framework for building perception pipelines
Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming Guang Yong, Juhyun Lee, et al. 2019 · 1906
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Learning representations from imperfect time series data via tensor rank regularization
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Roberta: A robustly optimized bert pretraining approach
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George H Dunteman. 1989 · 1989
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The interspeech 2016 computational paralinguistics challenge: Deception, sincerity & native language
Björn Schuller, Stefan Steidl, Anton Batliner, Julia Hirschberg, Judee K Burgoon, Alice Baird, Aaron Elkins, Yue Zhang, Eduardo Coutinho, Keelan Evanini, et al. 2016a · 2005
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The interspeech 2016 computational paralinguistics challenge: Deception, sincerity & native language
Björn Schuller, Stefan Steidl, Anton Batliner, Julia Hirschberg, Judee K Burgoon, Alice Baird, Aaron Elkins, Yue Zhang, Eduardo Coutinho, Keelan Evanini, et al. 2016b · 2005
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wav2vec 2.0: A framework for self-supervised learning of speech representations
Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli. 2020 · 2006
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Opensmile: the munich versatile and fast open-source audio feature extractor
Florian Eyben, Martin Wöllmer, and Björn Schuller. 2010 · 2010
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Survey on speech emotion recognition: Features, classification schemes, and databases
Moataz El Ayadi, Mohamed S Kamel, and Fakhri Karray. 2011 · 2011
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Multimodal sentiment analysis
Rada Mihalcea. 2012 · 2012
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
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Cross-dataset learning and person-specific normalisation for automatic action unit detection
Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson. 2015 · 2015
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The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing
Florian Eyben, Klaus R Scherer, Björn W Schuller, Johan Sundberg, Elisabeth André, Carlos Busso, Laurence Y Devillers, Julien Epps, Petri Laukka, Shrikanth S Narayanan, et al. 2015 · 2015
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librosa: Audio and music signal analysis in python
Brian McFee, Colin Raffel, Dawen Liang, Daniel PW Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto. 2015 · 2015
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Rendering of eyes for eye-shape registration and gaze estimation
Erroll Wood, Tadas Baltrusaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling. 2015 · 2015
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Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages
Amir Zadeh, Rowan Zellers, Eli Pincus, and Louis-Philippe Morency. 2016 · 2016
Cited alongside, same era.
Missing modality imagination network for emotion recognition with uncertain missing modalities
Jinming Zhao, Ruichen Li, and Qin Jin. 2021 · 2016
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Sentiment analysis in an affective intelligent tutoring system
María Lucía Barrón-Estrada, Ramon Zatarain-Cabada, Raúl Oramas-Bustillos, and Francisco González-Hernández. 2017 · 2017
Cited alongside, same era.
Benchmarking multimodal sentiment analysis
Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, and RBV Subramanyam. 2017 · 2017
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Twitter vigilance: a multi-user platform for cross-domain twitter data analytics, nlp and sentiment analysis
Daniele Cenni, Paolo Nesi, Gianni Pantaleo, and Imad Zaza. 2017 · 2017
Cited alongside, same era.
Multimodal transformer for unaligned multimodal language sequences
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J Zico Kolter, Louis-Philippe Morency, and Ruslan Salakhutdinov. 2019 · 2019
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Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers
Mehmet Berkehan Akçay and Kaya Oğuz. 2020 · 2020
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Improving multimodal fusion with hierarchical mutual information maximization for multimodal sentiment analysis
Wei Han, Hui Chen, and Soujanya Poria. 2021b · 2020
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Misa: Modality-invariant and-specific representations for multimodal sentiment analysis
Devamanyu Hazarika, Roger Zimmermann, and Soujanya Poria. 2020 · 2020
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Pre-trained models for natural language processing: A survey
Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, and Xuanjing Huang. 2020 · 2020
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Mohammad Soleymani, David Garcia, Brendan Jou, Björn Schuller, Shih-Fu Chang, and Maja Pantic. 2017 · 2017
Cited alongside, same era.
Multisense—context-aware nonverbal behavior analysis framework: A psychological distress use case
Giota Stratou and Louis-Philippe Morency. 2017 · 2017
Cited alongside, same era.
Tensor fusion network for multimodal sentiment analysis
Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency. 2017a · 2017
Cited alongside, same era.
Openface 2.0: Facial behavior analysis toolkit
Tadas Baltrusaitis, Amir Zadeh, Yao Chong Lim, and Louis-Philippe Morency. 2018 · 2018
Cited alongside, same era.
Mixedemotions: An open-source toolbox for multimodal emotion analysis
Paul Buitelaar, Ian D Wood, Sapna Negi, Mihael Arcan, John P McCrae, Andrejs Abele, Cecile Robin, Vladimir Andryushechkin, Housam Ziad, Hesam Sagha, et al. 2018 · 2018
Cited alongside, same era.
An emotion recognition system for monitoring shopping experience
Silvia Ceccacci, Andrea Generosi, Luca Giraldi, and Maura Mengoni. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Integrating multimodal information in large pretrained transformers
Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee, AmirAli Bagher Zadeh, Chengfeng Mao, Louis-Philippe Morency, and Ehsan Hoque. 2020 · 2020
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Benchmarking commercial emotion detection systems using realistic distortions of facial image datasets
Kangning Yang, Chaofan Wang, Zhanna Sarsenbayeva, Benjamin Tag, Tilman Dingler, Greg Wadley, and Jorge Goncalves. 2020 · 2020
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Ch-sims: A chinese multimodal sentiment analysis dataset with fine-grained annotation of modality
Wenmeng Yu, Hua Xu, Fanyang Meng, Yilin Zhu, Yixiao Ma, Jiele Wu, Jiyun Zou, and Kaicheng Yang. 2020 · 2020
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Exploring wav2vec 2.0 fine-tuning for improved speech emotion recognition
Li-Wei Chen and Alexander Rudnicky. 2021 · 2021
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Multimodal end-to-end sparse model for emotion recognition
Wenliang Dai, Samuel Cahyawijaya, Zihan Liu, and Pascale Fung. 2021 · 2021
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What makes the difference? an empirical comparison of fusion strategies for multimodal language analysis
Dimitris Gkoumas, Qiuchi Li, Christina Lioma, Yijun Yu, and Dawei Song. 2021 · 2021
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Bi-bimodal modality fusion for correlation-controlled multimodal sentiment analysis
Wei Han, Hui Chen, Alexander Gelbukh, Amir Zadeh, Louis-philippe Morency, and Soujanya Poria. 2021a · 2021
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Emotion recognition from speech using wav2vec 2.0 embeddings
Leonardo Pepino, Pablo Riera, and Luciana Ferrer. 2021 · 2021
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Learning modality-specific representations with self-supervised multi-task learning for multimodal sentiment analysis
Wenmeng Yu, Hua Xu, Yuan Ziqi, and Wu Jiele. 2021 · 2021
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Transformer-based feature reconstruction network for robust multimodal sentiment analysis
Ziqi Yuan, Wei Li, Hua Xu, and Wenmeng Yu. 2021 · 2021
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Smin: Semi-supervised multi-modal interaction network for conversational emotion recognition
Zheng Lian, Bin Liu, and Jianhua Tao. 2022 · 2022
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