Example projects built with the Hume AI APIs
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Updated
May 31, 2024 - Jupyter Notebook
Example projects built with the Hume AI APIs
Files relevant for my bachelor thesis on different automatic emotion recognition approaches
The project develops a facial emotion classifier using the k-Nearest Neighbors (kNN) algorithm. The classifier uses Histogram of Oriented Gradients (HOG) and Principal Component Analysis (PCA) for dimensionality reduction with usage of normalisaton, preprocessing and augmentation.
Official code repository for paper "Multi-modal Speech Emotion Recognition using Multi-head Attention Fusion of Multi-feature Embeddings". Paper accepted to EAI INISCOM 2023
Code repository for paper: "The Face of Populism: Examining Differences in Facial Emotional Expressions of Political Leaders Using Machine Learning"
This repository is related to all about Machine Learning, Deep Learning, Computer Vision, NLP, and Research Projects
This repository houses a robust Emotion Analysis and Detection system designed to interpret and identify emotions from text. This project aims to provide accurate insights into human emotions, enabling applications in diverse fields including psychology, marketing, human-computer interaction, and sentiment analysis.
Repository for paper: "Dynamic Exploratory Graph Analysis of Emotions in Politics"
The AI-powered ser Python package is a tool for recognizing and analyzing emotions in speech. Employing state-of-the-art machine learning and audio processing techniques, it classifies emotions in audio recordings, extracts transcripts, and integrates these with a timeline of emotional states
😎 Awesome lists about Speech Emotion Recognition
This small library adds face and emotion analysis to any website, with less than 1 MB, and is fully GDPR-compliant.
The detection of emotion is made by using the machine learning concept. You can use the trained dataset to detect the emotion of the human being. For detecting the different emotions, first, you need to train those different emotions, or you can use a dataset already available on the internet.
A modern GUI Based Face Recognition and Emotion Predictor using Machine Learning
Project Babble Module for VRCFaceTracking v5. An open-source VR mouth tracking solution
Project to infere emotional expressions and benchmark datasets by Niklas Wagner, Felix Mätzler, Samed R. Vossberg, Helen Schneider and Svetlana Pavlitska.
Fast emotion classification model
Real-time Facial Emotion Detection using deep learning
This is a simple python project which scrapes top level comments from Reddit, performs basic sentiment analysis along with emotion detection and generates two reports based on the sentimentality
This project aims to tackle the growing challenge of analyzing emotions conveyed through text, particularly in the context of the vast amount of comments generated daily on social media platforms and reviews from websites.
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