A collection of datasets for the purpose of emotion recognition/detection in speech.

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Final Year Project on Speech Emotion Recognition with CNN and LSTM.

An advanced Speech Emotion Recognition (SER) system built using LSTM Neural Networks in TensorFlow/Keras, integrated with a Streamlit Web App for interactive predictions. This project leverages deep learning to classify human emotions from audio speech signals.

SER for emotions recognition - CNN & NCF for recommendations