Alternatives and similar repositories for FYP_Submission:

Users that are interested in FYP_Submission are comparing it to the libraries listed below

• sukesh167 / Depression-Detection-in-speech
  Detecting depression in a conversation using Convolutional Neral Network
  ☆70Updated 4 years ago
• belal981 / depression-detection
  Depression-Detection represents a machine learning algorithm to classify audio using acoustic features in human speech, thus detecting de…
  ☆14Updated 4 years ago
• AmirHoseein99 / Depression-Engine
  Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach
  ☆18Updated 2 years ago
• notmanan / Depression-Detection-Through-Multi-Modal-Data
  Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the …
  ☆1Updated 4 years ago
• Akshat2430 / Detecting-Depression-From-Speech-Signals
  Speech-based diagnosis of depression
  ☆28Updated 3 years ago
• derong97 / automatic-depression-detector
  Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.
  ☆33Updated 4 years ago
• asthad16 / Depression-Detection-using-Speech
  ☆9Updated 4 years ago
• hariharitha21 / Detection-of-Anxiety-and-Depression
  Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython
  ☆60Updated 3 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.…
  ☆76Updated 3 years ago
• linlemn / DepressionDectection
  ☆20Updated 9 months ago
• HimangiM / Depression_Detection
  Detecting depression levels in employees from videos of DAIC-WOZ dataset using LSTMs and Facial Action Units as input.
  ☆27Updated 6 years ago
• speechandlanguageprocessing / ICASSP2022-Depression
  Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus
  ☆174Updated last year
• adbailey1 / daic_woz_process
  ☆61Updated last year
• sidmulajkar / sentiment-predictor-for-stress-detection
  Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed…
  ☆93Updated 3 years ago
• kykiefer / depression-detect
  Predicting depression from acoustic features of speech using a Convolutional Neural Network.
  ☆304Updated 6 years ago
• SaraS92 / CAE_ADD
  ☆10Updated last year
• LouisYZK / dds-avec2019
  Detect Depression with AI Sub-challenge (DSS) of AVEC2019 experienment version via YZK
  ☆13Updated 3 years ago
• rajamohanharesh / Emotion-Recognition
  Time series course Fall 2019 project
  ☆54Updated 4 years ago
• Jackustc / Question-Level-Feature-Extraction-on-DAIC-WOZ-dataset
  ☆32Updated 2 years 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 …
  ☆39Updated last year
• RicherMans / text_based_depression
  Source code for the paper "Text-based Depression Detection: What Triggers An Alert"
  ☆48Updated last year
• 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"
  ☆54Updated last year
• ihp-lab / Avec2019_DDS
  Baseline scripts for AVEC 2019, Depression Detection Sub-challenge
  ☆15Updated 5 years ago
• cosmaadrian / multimodal-depression-from-video
  Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"
  ☆61Updated 11 months ago
• isrugeek / depression_detection
  Detect Depression from Social Network Using Deep learning
  ☆26Updated 6 years ago
• nextDeve / Depression-detect-ResNet
  depression-detect Predicting depression from AVEC2014 using ResNet18.
  ☆48Updated 10 months ago
• Sehaba95 / Emotions-recognition-from-audio-signal
  Emotions recognition from audio signal using OpenSmile, PCA and set of classifiers from Scikit-learn library
  ☆45Updated 2 years ago
• rcantini / speech_emotion_recognition
  How to detect emotions from speech using Bi-directional LSTM networks and attention mechanism in Keras.
  ☆20Updated last year
• CMDC-corpus / CMDC-Baseline
  the baseline model of CMDC corpus
  ☆40Updated 2 years ago
• divertingPan / STA-DRN
  code for paper 'Spatial-Temporal Attention Network for Depression Recognition from Facial Videos'
  ☆28Updated 4 months ago