marcogdepinto / emotion-classification-from-audio-filesLinks
Understanding emotions from audio files using neural networks and multiple datasets.
☆418Updated last year
Alternatives and similar repositories for emotion-classification-from-audio-files
Users that are interested in emotion-classification-from-audio-files are comparing it to the libraries listed below
Sorting:
- Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)☆417Updated last year
- 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
- 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.☆179Updated 5 years ago
- speech emotion recognition using a convolutional recurrent networks based on IEMOCAP☆398Updated 5 years ago
- Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).☆110Updated 3 years ago
- This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.☆203Updated 2 years ago
- ☆90Updated 2 years ago
- Speaker independent emotion recognition☆322Updated 11 months ago
- Bidirectional LSTM network for speech emotion recognition.☆264Updated 6 years ago
- Detecting emotions using MFCC features of human speech using Deep Learning☆128Updated 4 years ago
- Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras☆636Updated last year
- Time series course Fall 2019 project☆53Updated 4 years ago
- Identify the emotion of multiple speakers in an Audio Segment☆171Updated 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
- Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'☆133Updated 5 months ago
- Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.☆164Updated 4 years ago
- Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)☆217Updated last year
- Multi-modal Speech Emotion Recogniton on IEMOCAP dataset☆89Updated last year
- The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)☆1,358Updated 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
- [ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech E…☆175Updated last year
- Python package for openSMILE☆282Updated 6 months ago
- Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.☆46Updated 10 months ago
- Official implementation for the paper Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition☆150Updated 3 years ago
- Wav2Vec for speech recognition, classification, and audio classification☆263Updated 3 years ago
- ☆48Updated last year
- feature extraction from speech signals☆376Updated last week
- Contains links to publicly available datasets for modeling health outcomes using speech and language.☆122Updated last year