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…
☆92Updated 3 years ago
Alternatives and similar repositories for sentiment-predictor-for-stress-detection:
Users that are interested in sentiment-predictor-for-stress-detection are comparing it to the libraries listed below
- Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython☆60Updated 3 years ago
- Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the …☆1Updated 4 years ago
- Detecting depression in a conversation using Convolutional Neral Network☆68Updated 4 years ago
- Speech-based diagnosis of depression☆28Updated 3 years ago
- Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach☆18Updated 2 years ago
- Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.☆95Updated 2 years ago
- Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).☆110Updated 3 years ago
- Depression Detection from Speech☆34Updated 8 years ago
- Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.☆138Updated 4 years ago
- Speaker independent emotion recognition☆317Updated 9 months ago
- Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)☆415Updated last year
- A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computin…☆120Updated 4 years ago
- A multimodal approach on emotion recognition using audio and text.☆174Updated 4 years ago
- Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.…☆75Updated 3 years ago
- A ML project specifically build for predicting students' mental health☆23Updated 2 years ago
- ☆20Updated 8 months ago
- Understanding emotions from audio files using neural networks and multiple datasets.☆418Updated last year
- Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.☆33Updated 4 years ago
- Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus☆169Updated last year
- A facial emotion recognition program implemented in Python using TensorFlow, Keras and OpenCV and trained on the FER2013 dataset with FER…☆34Updated 4 years ago
- Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras☆622Updated last year
- Depression-Detection represents a machine learning algorithm to classify audio using acoustic features in human speech, thus detecting de…☆14Updated 4 years ago
- TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18☆278Updated 10 months ago
- This is a audio classification project in python based on MLP Classifier☆38Updated 4 years ago
- Depression is one of the most common mental disorders with millions of people suffering from it.It has been found to have an impact on t…☆20Updated 4 years ago
- Time series course Fall 2019 project☆54Updated 4 years ago
- Repository with the code of the paper: A proposal for Multimodal Emotion Recognition using auraltransformers and Action Units on RAVDESS …☆104Updated last year
- depression detection by using tweets☆27Updated 6 years ago
- This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.☆202Updated 2 years ago
- Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as …☆39Updated last year