SuyashMore / MevonAI-Speech-Emotion-RecognitionLinks
Identify the emotion of multiple speakers in an Audio Segment
☆172Updated 2 years ago
Alternatives and similar repositories for MevonAI-Speech-Emotion-Recognition
Users that are interested in MevonAI-Speech-Emotion-Recognition are comparing it to the libraries listed below
Sorting:
- Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.☆137Updated 4 years ago
- Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).☆111Updated 3 years ago
- Understanding emotions from audio files using neural networks and multiple datasets.☆420Updated 2 years ago
- Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)☆218Updated 2 years ago
- This project is about performing Speaker diarization for Hindi Language.☆50Updated 4 years ago
- ☆90Updated 2 years ago
- Speech Emotion Recognition☆42Updated last year
- A collection of datasets for the purpose of emotion recognition/detection in speech.☆359Updated 10 months ago
- Time series course Fall 2019 project☆53Updated 4 years ago
- ☆23Updated 4 years ago
- A multimodal approach on emotion recognition using audio and text.☆182Updated 5 years ago
- Wav2Vec for speech recognition, classification, and audio classification☆265Updated 3 years ago
- This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.☆205Updated 2 years ago
- Official code for the paper "Visual Speech Enhancement Without A Real Visual Stream" published at WACV 2021☆108Updated last year
- Speech Emotion Detection using SVM, Decision Tree, Random Forest, MLP, CNN with different architectures☆36Updated last year
- Urdu Language Speech Emotional Corpus☆46Updated 6 years ago
- Speaker Identification System (upto 100% accuracy); built using Python 2.7 and python_speech_features library☆209Updated 5 years ago
- Speaker independent emotion recognition☆322Updated last year
- ☆49Updated last year
- The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)☆37Updated 2 years ago
- Deep Learning - one shot learning for speaker recognition using Filter Banks☆170Updated last year
- Building a Deep learning model that predicts the gender of a speaker using TensorFlow 2☆127Updated 2 years ago
- Detecting emotions using MFCC features of human speech using Deep Learning☆129Updated 4 years ago
- An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, …☆76Updated 4 years ago
- A collection of Audio and Speech pre-trained models.☆193Updated 5 years ago
- Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.☆47Updated last year
- Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'☆135Updated 7 months ago
- TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18☆290Updated last year
- Implementation of the paper "Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning" From I…☆57Updated 4 years ago
- 1st Place Public Leaderboard Solution for ERC2019☆70Updated 5 years ago