PeiranLi0930 /L-SVD

declare-lab/MELD

▲ +1 ★ this week

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

sidmulajkar/sentiment-predictor-for-stress-detection

Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.

atulapra/Emotion-detection

Real-time Facial Emotion Detection using deep learning

maelfabien/Multimodal-Emotion-Recognition

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

sb-ai-lab/EmotiEffLib

Efficient face emotion recognition in photos and videos

WIKI2020/FacePose_pytorch

🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简，极快，高效是我们的宗旨)