Emotion Recognition

200 papers with code • 5 benchmarks • 26 datasets

Emotion Recognition is an important area of research to enable effective human-computer interaction. Human emotions can be detected using speech signal, facial expressions, body language, and electroencephalography (EEG). Source: Using Deep Autoencoders for Facial Expression Recognition

Greatest papers with code

Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond

PaddlePaddle/PaddleClas 6 Nov 2018

Our approach only needs to modify the input image and can work with any network to improve its performance.

Data Augmentation Emotion Recognition +5

audino: A Modern Annotation Tool for Audio and Speech

midas-research/audino 9 Jun 2020

The tool allows audio data to be uploaded and assigned to a user through a key-based API.

Action Detection Activity Detection +3

Conversational Transfer Learning for Emotion Recognition

SenticNet/conv-emotion 11 Oct 2019

We propose an approach, TL-ERC, where we pre-train a hierarchical dialogue model on multi-turn conversations (source) and then transfer its parameters to a conversational emotion classifier (target).

Emotion Recognition in Conversation Transfer Learning

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

SenticNet/conv-emotion IJCNLP 2019

Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care, education, and human resources.

Emotion Classification Emotion Recognition in Conversation

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

SenticNet/conv-emotion 8 May 2019

Emotion is intrinsic to humans and consequently emotion understanding is a key part of human-like artificial intelligence (AI).

Emotion Recognition in Conversation

Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors

A2Zadeh/CMU-MultimodalDataSDK 23 Nov 2018

Humans convey their intentions through the usage of both verbal and nonverbal behaviors during face-to-face communication.

Emotion Recognition Multimodal Sentiment Analysis