linlemn / DepressionDectection
☆20Updated 7 months ago
Alternatives and similar repositories for DepressionDectection:
Users that are interested in DepressionDectection are comparing it to the libraries listed below
- Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.☆34Updated 4 years ago
- Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus☆157Updated last year
- ☆60Updated last year
- the baseline model of CMDC corpus☆38Updated 2 years ago
- ☆10Updated last year
- Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.…☆73Updated 3 years ago
- depression-detect Predicting depression from AVEC2014 using ResNet18.☆44Updated 9 months ago
- Papers using E-DAIC dataset (AVEC 2019 DDS)☆29Updated last year
- Here the code of EmoAudioNet is a deep neural network for speech classification (published in ICPR 2020)☆12Updated 4 years ago
- Detect Depression with AI Sub-challenge (DSS) of AVEC2019 experienment version via YZK☆12Updated 3 years ago
- Bachelor Thesis - Deep Learning-based Multi-modal Depression Estimation☆64Updated last year
- ☆19Updated 4 months ago
- Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"☆58Updated 10 months ago
- Detecting depression levels in employees from videos of DAIC-WOZ dataset using LSTMs and Facial Action Units as input.☆27Updated 6 years ago
- ☆17Updated 10 months ago
- Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach☆18Updated 2 years ago
- AVEC 2013 Continuous Audio/Visual Emotion and Depression Recognition Challenge☆22Updated 11 years ago
- The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.☆116Updated 3 years ago
- Depression-Detection represents a machine learning algorithm to classify audio using acoustic features in human speech, thus detecting de…☆14Updated 4 years ago
- Scripts used in the research described in the paper "Multimodal Emotion Recognition with High-level Speech and Text Features" accepted in…☆52Updated 3 years ago
- Source code for paper Multi-Task Learning for Depression Detection in Dialogs (SIGDial 2022)☆10Updated 2 months ago
- A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition☆36Updated 7 months ago
- Source code for the paper "Text-based Depression Detection: What Triggers An Alert"☆46Updated last year
- Baseline scripts for the Audio/Visual Emotion Challenge 2019☆77Updated 3 years ago
- A multimodal approach on emotion recognition using audio and text.☆171Updated 4 years ago
- ☆18Updated last year
- Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"☆53Updated last year
- 多模态,语音和文本结合的情感识别,大模型finetune☆16Updated last year
- Detecting depression in a conversation using Convolutional Neral Network☆68Updated 3 years ago
- code for paper 'Spatial-Temporal Attention Network for Depression Recognition from Facial Videos'☆28Updated 2 months ago