Classifying English Music (.mp3) files using Music Information Retrieval (MIR), Digital/Audio Signal Processing (DIP) and Machine Learning (ML) Strategies

Bird sound identification web application

Mickey is a ML web app that captures emotions in music using LSTM and GRU-based neural networks built with TensorFlow. It features a FastAPI backend with Jinja templates for the frontend, and uses Librosa for audio processing. The system analyzes music to classify emotions, making it a powerful tool for mood-based music recommendations

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.

This is my personal website, with things that I think are cool.

Industrial-Processes-Quality-Assessment-using-Sound-Analytics