[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
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[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
Code for the InterSpeech 2023 paper: MMER: Multimodal Multi-task learning for Speech Emotion Recognition
Modality-Transferable-MER, multimodal emotion recognition model with zero-shot and few-shot abilities.
多模态情绪识别方法研究(Multimodal Emotion Recognition)
[ECAI 2023] Official implementation of "FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition"
A Tensorflow implementation of Speech Emotion Recognition using Audio signals and Text Data
CNN for language-independent emotion prediction on a dataset of English and French speech samples.
Emotion recognition from Speech & Text using different heterogeneous ensemble learning methods
HGFM : A Hierarchical Grained and Feature Model for Acoustic Emotion Recgnition
Multimodal emotion recognition framework for Human–Robot Interaction, featuring adaptive cross-modal fusion and emotion-level Transformer decoding with built-in interpretability.
Codes for extracting features of IEMOCAP with Open Smile tool kit
This project explores facial emotion recognition by combining spatial and temporal learning in a structured two-stage pipeline. The motivation was to move beyond static image-based classification and build a system capable of understanding how emotions evolve over time in real-world scenarios.
Road towards multi reward RL for emotion classification from IEMOCAP Dataset
Comparison of multimodal models for Emotion Detection on IEMOCAP
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