This repo contains implementation of different architectures for emotion recognition in conversations.
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Updated
Mar 10, 2024 - Python
This repo contains implementation of different architectures for emotion recognition in conversations.
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
A comprehensive reading list for Emotion Recognition in Conversations
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
The offical realization of InstructERC
Official repository of the AAAI'2022 paper "Contrast and Generation Make BART a Good Dialogue Emotion Recognizer"
This repository contains the source codes of the paper -- Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication
Diploma thesis analyzing emotion recognition in conversations exploiting physiological signals (ECG, HRV, GSR, TEMP) and an Attention-based LSTM network
This repository contains the dataset and baselines explained in the paper: M2H2: A Multimodal Multiparty Hindi Dataset For HumorRecognition in Conversations
[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
a reproduction on DialogueEIN: Emotion Interaction Network for Dialogue Affective Analysis-COLING22.
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)
Dimensional Emotion Recognition in Conversation
A comprehensive reading list for Emotion Recognition in Textual Conversations
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