SVM-Based Music Genre Binary Classifier
Danil Kozhan
SVM-Based Music Genre Binary Classifier
Project Overview
The goal of this project is to build a complete binary classifier that distinguishes between two music genres based on audio features.
The Support Vector Machine (SVM) algorithm was implemented from scratch in C++ to handle the classification task.
The project covers the full machine learning pipeline, including feature extraction, model training, prediction, and user interaction through a graphical interface.
Resources and Methods Used
Dataset:
A reduced version of the GTZAN music genre dataset was used, containing audio samples labeled with two genres for binary classification.
Data Preprocessing and Analysis:
Exploratory Data Analysis (EDA) was performed, including feature distribution visualization and feature correlation exploration.
Feature values were normalized using Min-Max Scaling to the [0, 1] range.
NumPy and Pandas were used for data handling and analysis.
Model Implementation:
The SVM classifier was implemented manually in core C++, without the use of external machine learning libraries.
Prediction and Audio Processing:
A Python prediction script was created for model inference.
Librosa was used to extract audio features from
.wav files for prediction.User Interface:
A simple GUI was developed using CustomTkinter to allow users to select an audio file and receive classification results.
Results Achieved
The implemented SVM classifier achieves:
Accuracy: 97.5%
Precision: 1.00
Recall: 0.95
F1-Score: 0.974 on the testing subset of the dataset.
Additional Deliverables:
A detailed project report was prepared, covering:
SVM theoretical background.
Project goals and a detailed flowchart.
Experimental results and evaluation metrics.
Description of the implemented user interface.
The project demonstrates that a custom C++ implementation of SVM can achieve high accuracy on real-world data and can be effectively integrated into a user-friendly application.
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Posted Aug 2, 2025
Developed a binary music genre classifier using SVM in C++.
