Jackustc / Question-Level-Feature-Extraction-on-DAIC-WOZ-dataset

Related projects: ⓘ

• Fancy-Block / ICASSP2022-Depression
  ☆24Updated this week
• sukesh167 / Depression-Detection-in-speech
  Detecting depression in a conversation using Convolutional Neral Network
  ☆61Updated 3 years ago
• AudioVisualEmotionChallenge / AVEC2019
  Baseline scripts for the Audio/Visual Emotion Challenge 2019
  ☆76Updated 2 years ago
• speechandlanguageprocessing / ICASSP2022-Depression
  Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus
  ☆125Updated last year
• RicherMans / text_based_depression
  Source code for the paper "Text-based Depression Detection: What Triggers An Alert"
  ☆43Updated last year
• adbailey1 / daic_woz_process
  ☆48Updated 6 months ago
• CMDC-corpus / CMDC-Baseline
  the baseline model of CMDC corpus
  ☆29Updated 2 years ago
• adbailey1 / DepAudioNet_reproduction
  Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.…
  ☆64Updated 3 years ago
• belal981 / depression-detection
  Depression-Detection represents a machine learning algorithm to classify audio using acoustic features in human speech, thus detecting de…
  ☆13Updated 4 years ago
• talhanai / redbud-tree-depression
  scripts to model depression in speech and text
  ☆70Updated 4 years ago
• derong97 / automatic-depression-detector
  Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.
  ☆23Updated 3 years ago
• linlemn / DepressionDectection
  ☆19Updated last month
• mmakiuchi / multimodal_emotion_recognition
  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
• shamanez / BERT-like-is-All-You-Need
  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
• ihp-lab / Avec2019_DDS
  Baseline scripts for AVEC 2019, Depression Detection Sub-challenge
  ☆14Updated 5 years ago
• Aditya3107 / IEMOCAP_EMOTION_Recognition
  Emotion recognition from IEMOCAP datasets.
  ☆25Updated 3 years ago
• aris-ai / Audio-and-text-based-emotion-recognition
  A multimodal approach on emotion recognition using audio and text.
  ☆153Updated 4 years ago
• chuyuanli / MTL4Depr
  Source code for paper Multi-Task Learning for Depression Detection in Dialogs (SIGDial 2022)
  ☆10Updated last year
• lstappen / MuSe2021
  Reproducing the baselines of the 2nd Multimodal Sentiment Analysis Challenge (MuSe 2021)
  ☆37Updated 2 years ago
• cosmaadrian / time-enriched-multimodal-depression-detection
  Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"
  ☆44Updated 8 months ago
• ShaheenPerveen / speech-emotion-recognition-iemocap
  Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as …
  ☆36Updated 6 months ago
• PiotrSobczak / speech-emotion-recognition
  Multi-modal Speech Emotion Recogniton on IEMOCAP dataset
  ☆82Updated last year
• SaraS92 / CAE_ADD
  ☆9Updated 9 months ago
• julieeF / CS231N-Project
  ☆15Updated 11 months ago
• kingformatty / NUSD
  ☆15Updated last year
• Exploration-Lab / COGMEN
  ☆81Updated last year
• AliceOTHMANI / EmoAudioNet
  Here the code of EmoAudioNet is a deep neural network for speech classification (published in ICPR 2020)
  ☆11Updated 4 years ago
• wenliangdai / Multimodal-End2end-Sparse
  The code repository for NAACL 2021 paper "Multimodal End-to-End Sparse Model for Emotion Recognition".
  ☆94Updated last year
• cosmaadrian / multimodal-depression-from-video
  Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"
  ☆37Updated 4 months ago
• shamanez / Self-Supervised-Embedding-Fusion-Transformer
  The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.
  ☆109Updated 3 years ago