Changing FM station on Ads - A deep learning experiment using Audio Recognition

Deep learning algorithms applied on FMA dataset for genre classification.

MUSIC GENRE CLASSIFICATION WITH DEEP LEARNING USING THE FREE MUSIC ARCHIVE (FMA)

A Machine Learning and Deep Learning project to classify music tracks into genres using data from the Free Music Archive (FMA).

FMA for Deep Learning

Deep learning project to classify music genres using the FMA dataset. It includes data preprocessing (Mel-spectrogram generation), a PyTorch Dataset and DataLoader, a baseline CNN model, training and evaluation scripts, and reproducible experiments.

Deep learning model to detect FMAs

Music Genre Classification using Deep Learning, trained on FMA-small

FMAS-TransUNet: A Deep Learning Approach for Complex Microstructure Agglomeration Recognition

🎶 Aquest projecte és una recerca des de zero per intentar classificar arxius de música segons el seu gènere a través de la implementació de deep learning. I el dataset de FMA

An end-to-end audio classification pipeline designed to categorize musical tracks from the FMA-small dataset into 8 distinct genres (Hip-Hop, Pop, Folk, etc.). This project benchmarks traditional ML approaches against Deep Learning architectures.