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), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication betwee…
☆89Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for sentiment-predictor-for-stress-detection
- Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython☆55Updated 3 years ago
- Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.☆91Updated last year
- Depression Detection from Speech☆31Updated 7 years ago
- Detecting depression in a conversation using Convolutional Neral Network☆65Updated 3 years ago
- Speech-based diagnosis of depression☆26Updated 3 years ago
- Speaker independent emotion recognition☆314Updated 4 months ago
- Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach☆17Updated last year
- Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.☆138Updated 3 years ago
- Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).☆92Updated 2 years ago
- Stress Detection module which classifies stressed faces and define stress level☆34Updated 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
- Identify the emotion of multiple speakers in an Audio Segment☆164Updated last year
- A ML project specifically build for predicting students' mental health☆23Updated 2 years ago
- Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.☆26Updated 3 years ago
- The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)☆36Updated 2 years ago
- Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus☆138Updated last year
- Repository with the code of the paper: A proposal for Multimodal Emotion Recognition using auraltransformers and Action Units on RAVDESS …☆96Updated 7 months ago
- ML Model using NLP and Sentiment Analysis.☆9Updated last year
- depression detection by using tweets☆23Updated 5 years ago
- Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.☆44Updated 3 months ago
- Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.…☆67Updated 3 years ago
- ☆16Updated last year
- Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as …☆36Updated 8 months ago
- Code for the paper "Real Time Speech Emotion Recognition using Machine Learning"☆17Updated 3 years ago
- Time series course Fall 2019 project☆53Updated 4 years ago
- ☆9Updated 4 years ago
- A multimodal approach on emotion recognition using audio and text.☆162Updated 4 years ago
- TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18☆262Updated 5 months ago