
multimodal-emotion-recognition · GitHub Topics · GitHub
Mar 10, 2024 · The repo contains an audio emotion detection model, facial emotion detection model, and a model that combines both these models to predict emotions from a video
Real-Time Multimodal Emotion Recognition - GitHub
We developped a multimodal emotion recognition platform to analyze the emotions of job candidates, in partnership with the French Employment Agency. We analye facial, vocal and …
emotion-detection · GitHub Topics · GitHub
Aug 30, 2024 · Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras. libfaceid is a research framework for prototyping of face …
Multimodal Emotion Recognition on RAVDESS Dataset Using …
In this paper, we propose a multimodal emotion recognition system that relies on speech and facial information. For the speech-based modality, we evaluated several transfer-learning …
Multimodal Emotion Classification Using Machine Learning and …
Mar 27, 2025 · Standardized Emotion Label Mapping Using James Russell's Circumplex Model for Text-Based Emotion Detection Systems. AI & Affective Computing, 27(2), 145-162. …
MindLink-Eumpy: An Open-Source Python Toolbox for Multimodal Emotion …
Feb 19, 2021 · This paper proposes MindLink-Eumpy, which is an open-source Python toolbox for multimodal emotion recognition. MindLink-Eumpy includes a series of tools for data collection, …
Multimodal Emotion Recognition via Convolutional Neural …
Apr 1, 2024 · Section 2 introduces the theoretical background of emotion recognition and states the problem tackled in this paper from the point of view of automatic multimodal emotion …
MindLink-Eumpy: An Open-Source Python Toolbox for Multimodal Emotion …
Feb 19, 2021 · In this paper, an open-source software toolbox called MindLink-Eumpy is developed to recognize emotions by integrating electroencephalogram (EEG) and facial …
Multi-HM: A Chinese Multimodal Dataset and Fusion Framework for Emotion ...
3 days ago · Multimodal emotion recognition in conversation is a rapidly growing field that aims to predict emotions for each utterance in a dialogue by integrating multimodal data. Speakers …
Automatic emotion recognition using temporal multimodal - Python …
In this study, we propose a temporal multimodal fusion approach with a deep learning model to capture the non-linear emotional correlation within and across electroencephalography (EEG) …