Files relevant for my bachelor thesis on different automatic emotion recognition approaches
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Updated
May 26, 2024 - Jupyter Notebook
Files relevant for my bachelor thesis on different automatic emotion recognition approaches
Extracting emotion from sound by looking at sound file's features and the meaning of the sentences using NLTK and LSTM.
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
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
Example projects built with the Hume AI APIs
Identifying and categorizing opinions , emotions, and attitudes of movie reviews within textual data.
😎 Awesome lists about Speech Emotion Recognition
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.
ABAW6 (CVPR-W) We achieved second place in the valence arousal challenge of ABAW6
Multimodal Emotion eXpression Capture Amsterdam. Pipeline for capturing emotion expressions from multiple modalities (video, audio, text) in the wild.
Reward Penalty Weighted Ensemble approach for multimodal data stream classification
This project implements a real-time face emotion recognition system using Gray-Level Co-Occurrence Matrix (GLCM) for feature extraction and an Artificial Neural Network (ANN) for classification. The system can identify various emotional states from facial expressions in real-time.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
FG 2024 Papers: Explore a comprehensive collection of research papers presented at one of the premier conferences on automatic face and gesture recognition. Seamlessly integrate code implementations for better understanding. ⭐ Experience the cutting edge of progress in facial analysis, gesture recognition, and biometrics with this repository!
Project Babble Module for VRCFaceTracking v5. An open-source VR mouth tracking solution
Deployment of Facial Emotion Model
Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild
Project to infere emotional expressions and benchmark datasets by Niklas Wagner, Felix Mätzler, Samed R. Vossberg, Helen Schneider and Svetlana Pavlitska.
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
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