324 Open source projects that are alternatives of or similar to EmotionChallenge

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DELTA is a deep learning based natural language and speech processing platform.

Modality-Transferable-MER, multimodal emotion recognition model with zero-shot and few-shot abilities.

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.

Emotion recognition in conversation

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

An AI Tool to record expressions of users as they watch a video and then visualize the funniest parts of it!

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

👹 Emotion recognition in Node.js

PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.

🎓 📜 This repository holds my final year and dissertation project during my time at the University of Lincoln titled 'Deep Learning for Emotion Recognition in Cartoons'.

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

Implementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.

Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion,…

XED multilingual emotion datasets