sarthakt1993 / Artist-Detection-using-MP3-files

This Project was a part of my submission in CIS 731 - Artificial Neural Networks

Artist Detection using MP3 files

Problem Statement

The aim of this project is to make a classification architecture which will be used on a dataset to classify artists using their songs.

Dataset

The dataset which we will be using for our project is the artist20 dataset. This dataset was created by the Laboratory for the Recognition and Organization of Speech and Audio (LabROSA) at Columbia University to be used to experiment and evaluate classification performance.

Evaluation

We shall be using F1 score to evaluate our model performance. This is because the sample size for each artist is not same, hence there will class imbalance issues. To counteract that effect, we will be using F1 score as our evaluation metric.

Language

• Python
• Pytorch

Architectures Implemneted

• CRNN with Inception Block
• CRNN with ResNet50 Block

Files

• Project Report - This was Report was part of the project submission
• ANN_Project_Main - IPython notebook with the entire code with comments
• util - File with all the code