Popular GitHub Repositories for Ravdess Dataset

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between

This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.

An implementation of Speech Emotion Recognition, based on HuBERT model, training with PyTorch and HuggingFace framework, and fine-tuning on the RAVDESS dataset.

Leveraged deep learning techniques on the RAVDESS dataset to identify patterns in vocal expressions, enabling emotion classification and sentiment analysis.

This project implements a Speech Emotion Recognition (SER) model using TensorFlow Lite, specifically designed for deployment on microcontrollers like the Arduino Nano BLE33. The model is trained on the RAVDESS dataset and can recognize seven emotions: Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise.