Dimensional Emotion Recognition in Conversation
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Updated
Dec 6, 2022 - Python
Dimensional Emotion Recognition in Conversation
Code for the paper: Context-Dependent Embedding Utterance Representations for Emotion Recognition in Conversations
Advanced Speech Emotion Recognition, based on ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets and 14 languages (Emotions: Disgust, Neutral, Kind, Anger, Surprise, Joy)
The software part of the OpenLens Smart Glasses (demo version)
A compilation of the publications featured in "Deep Emotion Recognition in Textual Conversations: A Survey"
a reproduction on DialogueEIN: Emotion Interaction Network for Dialogue Affective Analysis-COLING22.
[ECAI 2023] Official implementation of "FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition"
The PyTorch code for paper: "CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition."
[ICASSP20] A Dialogical Emotion Decoder For Speech Emotion Recognition in Spoken Dialog
Diploma thesis analyzing emotion recognition in conversations exploiting physiological signals (ECG, HRV, GSR, TEMP) and an Attention-based LSTM network
This repository contains the source codes of the paper -- Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication
Official repository of the AAAI'2022 paper "Contrast and Generation Make BART a Good Dialogue Emotion Recognizer"
The offical realization of InstructERC
This repository contains the dataset and baselines explained in the paper: M2H2: A Multimodal Multiparty Hindi Dataset For HumorRecognition in Conversations
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
A comprehensive reading list for Emotion Recognition in Conversations
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
This repo contains implementation of different architectures for emotion recognition in conversations.
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