RicherMans / text_based_depression
Source code for the paper "Text-based Depression Detection: What Triggers An Alert"
☆43Updated last year
Related projects: ⓘ
- ☆24Updated this week
- Detecting depression in a conversation using Convolutional Neral Network☆61Updated 3 years ago
- Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus☆125Updated last year
- Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.…☆64Updated 3 years ago
- Source code for paper Multi-Task Learning for Depression Detection in Dialogs (SIGDial 2022)☆10Updated last year
- ☆29Updated 2 years ago
- Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"☆37Updated 4 months ago
- Official PyTorch implementation of Multilogue-Net (Best paper runner-up at Challenge-HML @ ACL 2020)☆59Updated last year
- ☆48Updated 6 months ago
- Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"☆44Updated 8 months ago
- The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.☆109Updated 3 years ago
- The code repository for NAACL 2021 paper "Multimodal End-to-End Sparse Model for Emotion Recognition".☆94Updated last year
- Emotion recognition from IEMOCAP datasets.☆25Updated 3 years ago
- ☆19Updated last month
- Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.☆23Updated 3 years ago
- Baseline scripts for the Audio/Visual Emotion Challenge 2019☆76Updated 2 years ago
- Baseline scripts for AVEC 2019, Depression Detection Sub-challenge☆14Updated 5 years ago
- Depression-Detection represents a machine learning algorithm to classify audio using acoustic features in human speech, thus detecting de…☆13Updated 4 years ago
- Scripts used in the research described in the paper "Multimodal Emotion Recognition with High-level Speech and Text Features" accepted in…☆44Updated 3 years ago
- The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion R…☆112Updated 3 years ago
- the baseline model of CMDC corpus☆29Updated 2 years ago
- Papers using E-DAIC dataset (AVEC 2019 DDS)☆24Updated last year
- ☆81Updated last year
- Reproducing the baselines of the 2nd Multimodal Sentiment Analysis Challenge (MuSe 2021)☆37Updated 2 years ago
- ☆114Updated this week
- Multimodal (text, acoustic, visual) Sentiment Analysis and Emotion Recognition on CMU-MOSEI dataset.☆18Updated 3 years ago
- Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as …☆36Updated 6 months ago
- MultiModal Sentiment Analysis architectures for CMU-MOSEI.☆35Updated last year
- A survey of deep multimodal emotion recognition.☆48Updated 2 years ago
- ☆9Updated 9 months ago