https://github.com/adsieg/Speech
Multimodal Speech Emotion Recognition and Ambiguity Resolution
Papers with Code 아카이브
Multimodal Emotion Recognition
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This is a leaderboard for multimodal emotion recognition on the IEMOCAP dataset. The modality abbreviations are A: Acoustic T: Text V: Visual
Please include the modality in the bracket after the model name.
All models must use standard five emotion categories and are evaluated in standard leave-one-session-out (LOSO). See the papers for references.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ankurbhatia24/MULTIMODAL-EMOTION-RECOGNITION
Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning
https://github.com/aris-ai/Audio-and-text-based-emotion-recognition
https://github.com/asfathermou/human-computer-interaction
End-to-End Multimodal Emotion Recognition using Deep Neural Networks
https://github.com/david-yoon/multimodal-speech-emotion
https://github.com/humanmllm/r1-omni
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning
https://github.com/m-muaz/Cogmen_SLT
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN
https://github.com/mink007/Emotion_Recog_Deep_Neural_Networks/blob/master/CS231N_Project_Presentation.pptx
Emotion Recognition in Audio and Video Using Deep Neural Networks
https://github.com/robertjkeck2/EmoNet
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis
https://github.com/robertjkeck2/EmoTe
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis
https://github.com/robertjkeck2/pwdl
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis
https://github.com/sbelharbi/feature-vs-text-compound-emotion
Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild
https://github.com/tzirakis/Multimodal-Emotion-Recognition
End-to-End Multimodal Emotion Recognition using Deep Neural Networks
https://github.com/vincenzo-scotti/workingage_voice_service
https://github.com/zeroqiaoba/affectgpt
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning
https://github.com/zeroqiaoba/explainable-multimodal-emotion-reasoning
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.