SuyashMore / MevonAI-Speech-Emotion-RecognitionLinks
Identify the emotion of multiple speakers in an Audio Segment
☆171Updated 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:
- Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).☆110Updated 3 years ago
- Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.☆138Updated 4 years ago
- A collection of datasets for the purpose of emotion recognition/detection in speech.☆346Updated 8 months ago
- Understanding emotions from audio files using neural networks and multiple datasets.☆418Updated last year
- Time series course Fall 2019 project☆53Updated 4 years ago
- A multimodal approach on emotion recognition using audio and text.☆179Updated 5 years ago
- ☆90Updated 2 years ago
- Speech Emotion Detection using SVM, Decision Tree, Random Forest, MLP, CNN with different architectures☆34Updated last year
- Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.☆95Updated 2 years ago
- ☆48Updated last year
- TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18☆289Updated last year
- Speech Emotion Recognition☆42Updated last year
- This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.☆203Updated 2 years ago
- Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'☆133Updated 5 months ago
- Speaker independent emotion recognition☆322Updated last year
- Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.☆46Updated 10 months ago
- [RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)☆30Updated last year
- Wav2Vec for speech recognition, classification, and audio classification☆263Updated 3 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
- Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)☆217Updated last year
- In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifi…☆27Updated last year
- The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion R…☆121Updated 4 years ago
- Detecting emotions using MFCC features of human speech using Deep Learning☆128Updated 4 years ago
- Official code for the paper "Visual Speech Enhancement Without A Real Visual Stream" published at WACV 2021☆107Updated last year
- Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)☆417Updated last year
- Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as …☆39Updated last year
- Estimating the Age, Height, and Gender of a speaker with their speech signal. https://arxiv.org/pdf/2110.13653.pdf☆65Updated 4 years ago
- ☆23Updated 4 years ago
- [ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech E…☆175Updated last year
- Official implementation for the paper Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition☆150Updated 3 years ago