speechandlanguageprocessing / ICASSP2022-DepressionLinks
Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus
☆200Updated 2 years ago
Alternatives and similar repositories for ICASSP2022-Depression
Users that are interested in ICASSP2022-Depression are comparing it to the libraries listed below
Sorting:
- ☆69Updated last year
- the baseline model of CMDC corpus☆53Updated 3 years ago
- Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.…☆84Updated 4 years ago
- ☆22Updated last year
- ☆13Updated 2 years ago
- Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.☆42Updated 5 years ago
- depression-detect Predicting depression from AVEC2014 using ResNet18.☆59Updated last year
- Papers using E-DAIC dataset (AVEC 2019 DDS)☆37Updated 2 years ago
- Bachelor Thesis - Deep Learning-based Multi-modal Depression Estimation☆80Updated 2 years ago
- Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information☆164Updated 2 years ago
- 多模态,语音和文本结合的情感识别,大模型finetune☆23Updated 2 years ago
- Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"☆85Updated last year
- ☆25Updated last year
- This repository provides implementation for the paper "Self-attention fusion for audiovisual emotion recognition with incomplete data".☆157Updated last year
- Scripts used in the research described in the paper "Multimodal Emotion Recognition with High-level Speech and Text Features" accepted in…☆52Updated 4 years ago
- Here the code of EmoAudioNet is a deep neural network for speech classification (published in ICPR 2020)☆14Updated 5 years ago
- The final coursework for AI in Mental Health @ PKU.☆19Updated 2 years ago
- ☆30Updated last year
- Speech Emotion Recognition☆28Updated 5 years ago
- Emotion recognition from IEMOCAP datasets.☆41Updated 5 years ago
- The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.☆123Updated 4 years ago
- A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition☆40Updated last year
- The Pytorch implementation of paper Multimodal fusion for alzheimer's disease recognition☆17Updated 3 years ago
- Baseline scripts for the Audio/Visual Emotion Challenge 2019☆80Updated 3 years ago
- MultiModal Sentiment Analysis architectures for CMU-MOSEI.☆57Updated 3 years ago
- Code for the InterSpeech 2023 paper: MMER: Multimodal Multi-task learning for Speech Emotion Recognition☆81Updated last year
- Attention-Based Acoustic Feature Fusion Network for Depression Detection☆29Updated 7 months ago
- ☆13Updated 2 years ago
- Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation☆30Updated last year
- Data parser for the CMU-MultimodalSDK package including parsing for CMU-MOSEI, CMU-MOSI, and POM datasets☆36Updated last year