abhay8463 / Speech-Emotion-Recognition-using-ML-and-DL
Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.
☆92Updated 2 years ago
Alternatives and similar repositories for Speech-Emotion-Recognition-using-ML-and-DL:
Users that are interested in Speech-Emotion-Recognition-using-ML-and-DL are comparing it to the libraries listed below
- Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).☆104Updated 2 years ago
- Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.☆138Updated 3 years ago
- Speech Emotion Detection using SVM, Decision Tree, Random Forest, MLP, CNN with different architectures☆34Updated last year
- Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.☆45Updated 6 months ago
- Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython☆56Updated 3 years ago
- Speaker independent emotion recognition☆315Updated 7 months ago
- This is a audio classification project in python based on MLP Classifier☆35Updated 4 years ago
- Identify the emotion of multiple speakers in an Audio Segment☆166Updated 2 years ago
- Time series course Fall 2019 project☆54Updated 4 years ago
- A multimodal approach on emotion recognition using audio and text.☆170Updated 4 years ago
- Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed…☆91Updated 3 years ago
- Speech Emotion Recognition☆40Updated last year
- Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach☆18Updated 2 years ago
- Detecting depression in a conversation using Convolutional Neral Network☆68Updated 3 years ago
- ☆90Updated 2 years ago
- The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)☆37Updated 2 years ago
- The repo contains an audio emotion detection model, facial emotion detection model, and a model that combines both these models to predic…☆62Updated last year
- ☆47Updated last year
- In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifi…☆26Updated last year
- Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras☆607Updated last year
- Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as …☆38Updated 11 months ago
- How to detect emotions from speech using Bi-directional LSTM networks and attention mechanism in Keras.☆20Updated 11 months ago
- TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18☆272Updated 8 months ago
- Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the …☆1Updated 3 years ago
- ☆16Updated last year
- Speech-based diagnosis of depression☆27Updated 3 years ago
- [RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)☆27Updated last year
- This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.☆196Updated 2 years ago
- Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)☆410Updated last year
- Automatic speech emotion recognition based on transfer learning from spectrograms using ResNET☆21Updated 2 years ago