This program can recognize your mood by detecting your face and play song according your mood
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Updated
Jun 26, 2020 - Python
This program can recognize your mood by detecting your face and play song according your mood
A collection of datasets for the purpose of emotion recognition/detection in speech.
Basic Emotion Recognition using Pytorch
Affective Computing and Human Robot Interaction project to identify emotions in paintings using transfer learning
The ReactionGIF dataset of tweets and their GIF reactions from the ACL 2021 paper "Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter" (https://aclanthology.org/2021.acl-short.50/)
😯😮😖 Um classificador simples de emoções prototípicas de imagens faciais.
A browser-based application which uses face recognition to display ads in a smarter way, gain customer analytics and to help the blind to understand the emotions of the person near them.
Text to emotions using RNN, FastAPI, simple and fun 🔥
Full Range Prosody Mirror with Ai Health & Life Sage
This project is for learning more and improving myself
Russian translation of the GoEmotions dataset
Final degree project about predicting emotions from facial expressions
This project provides a demo usage of the Deepface framework.
Provides all the necessary endpoints to give the emotional capability to Surirobot.
An experimental environment designed to observe, measure, and analyze the inner workings of Large Language Models (LLMs).
Speech Emotion Recognition, abbreviated as SER, is the act of attempting to recognize human emotion and affective states from speech. This is capitalizing on the fact that voice often reflects underlying emotion through tone and pitch. This is also the phenomenon that animals like dogs and horses employ to be able to understand human emotion.
Indonesian Twitter Emotion Recognition using Feature Engineering
Just Keep Swimming is a website about emotions. When they feel overwhelming this page can help you, here you are going to find activities that have personally helped me, as well as information to help you better understand each emotion and, above all, to remind you how important it is to feel every emotions.
Multi-label emotion classification on GoEmotions (TF-IDF baseline + RoBERTa/DeBERTa)
To associate your repository with the emotions-recognition topic, visit your repo's landing page and select "manage topics."