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A Hydra-Grid Fusion Method for Multimodal Emotion Recognition

https://doi.org/10.2139/ssrn.4673656
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inferredcites →https://doi.org/10.1007/978-3-031-25082-8_3openalex-extracted
Hydra Attention: Efficient Attention with Many Heads
inferredcites →https://doi.org/10.1007/s10579-008-9076-6openalex-extracted
IEMOCAP: interactive emotional dyadic motion capture database
inferredcites →https://doi.org/10.1016/j.inffus.2017.02.003openalex-extracted
A review of affective computing: From unimodal analysis to multimodal fusion
inferredcites →https://doi.org/10.1016/j.inffus.2022.09.025openalex-extracted
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
inferredcites →https://doi.org/10.1016/j.jcomdis.2018.08.002openalex-extracted
Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease
inferredcites →https://doi.org/10.1016/j.knosys.2018.07.041openalex-extracted
Multimodal sentiment analysis using hierarchical fusion with context modeling
inferredcites →https://doi.org/10.1016/j.specom.2022.03.002openalex-extracted
Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion
inferredcites →https://doi.org/10.1109/fg.2018.00019openalex-extracted
OpenFace 2.0: Facial Behavior Analysis Toolkit
inferredcites →https://doi.org/10.1109/icassp39728.2021.9413910openalex-extracted
Contrastive Unsupervised Learning for Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/icassp39728.2021.9414035openalex-extracted
Deepemocluster: a Semi-Supervised Framework for Latent Cluster Representation of Speech Emotions
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053762openalex-extracted
Multimodal Transformer Fusion for Continuous Emotion Recognition
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747723openalex-extracted
Multimodal Transformer with Learnable Frontend and Self Attention for Emotion Recognition
inferredcites →https://doi.org/10.1109/icassp49357.2023.10095036openalex-extracted
Exploring Wav2vec 2.0 Fine Tuning for Improved Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/icassp49357.2023.10095042openalex-extracted
An Empirical Study and Improvement for Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/icassp49357.2023.10096709openalex-extracted
Exploring Complementary Features in Multi-Modal Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/iccst53801.2021.00027openalex-extracted
Multimodal Emotion Recognition in Deep Learning:a Survey
inferredcites →https://doi.org/10.1109/icdm.2017.134openalex-extracted
Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.1109/lsp.2016.2603342openalex-extracted
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
inferredcites →https://doi.org/10.1109/slt.2018.8639583openalex-extracted
Multimodal Speech Emotion Recognition Using Audio and Text
inferredcites →https://doi.org/10.1109/taslp.2021.3049898openalex-extracted
CTNet: Conversational Transformer Network for Emotion Recognition
inferredcites →https://doi.org/10.1109/twc.2022.3168884openalex-extracted
A Hierarchical Classification Head Based Convolutional Gated Deep Neural Network for Automatic Modulation Classification
inferredcites →https://doi.org/10.1111/bjet.12324openalex-extracted
Review of affective computing in education/learning: Trends and challenges
inferredcites →https://doi.org/10.1145/3462244.3479919openalex-extracted
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.1155/2019/2593036openalex-extracted
Audio‐Textual Emotion Recognition Based on Improved Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v34i02.5492openalex-extracted
M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues
inferredcites →https://doi.org/10.18653/v1/2020.aacl-main.30openalex-extracted
Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.417openalex-extracted
Multimodal End-to-End Sparse Model for Emotion Recognition
inferredcites →https://doi.org/10.18653/v1/2022.naacl-main.306openalex-extracted
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN
inferredcites →https://doi.org/10.18653/v1/p18-1208openalex-extracted
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
inferredcites →https://doi.org/10.18653/v1/p19-1656openalex-extracted
Multimodal Transformer for Unaligned Multimodal Language Sequences
inferredcites →https://doi.org/10.21437/interspeech.2019-2044openalex-extracted
Attentive to Individual: A Multimodal Emotion Recognition Network with Personalized Attention Profile
inferredcites →https://doi.org/10.21437/interspeech.2019-3247openalex-extracted
Learning Alignment for Multimodal Emotion Recognition from Speech
inferredcites →https://doi.org/10.21437/interspeech.2020-1190openalex-extracted
Multimodal Emotion Recognition Using Cross-Modal Attention and 1D Convolutional Neural Networks
inferredcites →https://doi.org/10.21437/interspeech.2020-1705openalex-extracted
Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition
inferredcites →https://doi.org/10.21437/interspeech.2021-2004openalex-extracted
Learning Mutual Correlation in Multimodal Transformer for Speech Emotion Recognition
inferredcites →https://doi.org/10.3389/fnbot.2023.1181598openalex-extracted
Multimodal transformer augmented fusion for speech emotion recognition
inferredcites →https://doi.org/10.3390/app11177962openalex-extracted
Deep Multimodal Emotion Recognition on Human Speech: A Review
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-extracted
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1806.06228openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2102.06357openalex-extracted
Contrastive Unsupervised Learning for Speech Emotion Recognition
inferredcites →https://doi.org/10.48550/arxiv.2103.09666openalex-extracted
Multimodal End-to-End Sparse Model for Emotion Recognition
inferredcites →https://doi.org/10.48550/arxiv.2110.06309openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2205.02455openalex-extracted
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN
inferredcites →https://doi.org/10.48550/arxiv.2304.03899openalex-extracted
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