[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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Updated
Nov 15, 2024 - Python
[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.
A Tensorflow implementation of Speech Emotion Recognition using Audio signals and Text Data
[ECAI 2023] Official implementation of "FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition"
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
Codes for extracting features of IEMOCAP with Open Smile tool kit
Road towards multi reward RL for emotion classification from IEMOCAP Dataset
Emotion Recognition with Pruning Support
Comparison of multimodal models for Emotion Detection on IEMOCAP
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