mkosaka1 / Speech_Emotion_RecognitionLinks
Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.
☆137Updated 4 years ago
Alternatives and similar repositories for Speech_Emotion_Recognition
Users that are interested in Speech_Emotion_Recognition are comparing it to the libraries listed below
Sorting:
- Understanding emotions from audio files using neural networks and multiple datasets.☆420Updated 2 years ago
- TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18☆289Updated last year
- A multimodal approach on emotion recognition using audio and text.☆181Updated 5 years ago
- Time series course Fall 2019 project☆53Updated 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
- ☆90Updated 2 years ago
- Identify the emotion of multiple speakers in an Audio Segment☆172Updated 2 years ago
- Speaker independent emotion recognition☆322Updated last year
- Detecting emotions using MFCC features of human speech using Deep Learning☆129Updated 4 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
- Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)☆419Updated last year
- ☆49Updated last year
- This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.☆204Updated 2 years ago
- A collection of datasets for the purpose of emotion recognition/detection in speech.☆348Updated 9 months ago
- Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.☆46Updated 11 months 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 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 depression in a conversation using Convolutional Neral Network☆71Updated 4 years ago
- An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, …☆75Updated 4 years ago
- Implementation of the paper "Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning" From I…☆57Updated 4 years ago
- In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifi…☆27Updated last year
- Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.☆166Updated 4 years ago
- speech emotion recognition using a convolutional recurrent networks based on IEMOCAP☆398Updated 6 years ago
- Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras☆640Updated last year
- Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.☆95Updated 2 years ago
- Multi-modal Speech Emotion Recogniton on IEMOCAP dataset☆89Updated 2 years ago
- Bidirectional LSTM network for speech emotion recognition.☆264Updated 6 years ago
- Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'☆134Updated 6 months ago
- Classifying Audio to Emotion☆28Updated 5 years ago
- Repository for my paper: Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition☆11Updated last year