Overview

MusicMappr is an innovative tool designed for music enthusiasts who want to explore the structural similarities between their favorite songs. This interactive platform allows users to visualize and playback chunks of music that exhibit similarities, offering a unique way to experience and remix tunes. Built using modern web technologies, MusicMappr caters to the curiosity of those interested in the deeper aspects of music.

By leveraging clustering and visualization techniques from machine learning, MusicMappr provides a fascinating glimpse into the audio data of songs. Utilizing the WebAudio API, it breaks down sound into digestible chunks, making it an engaging experience for both casual listeners and music aficionados alike.

Features

Interactive Visualization: MusicMappr visually represents music clusters, allowing users to see relationships between different song segments.
Fourier Transform Analysis: Utilizes advanced techniques to extract frequency data, enhancing the understanding of each song's sonic structure.
T-SNE Visualization: Transforms high-dimensional data into a 2D space for easier interpretation of audio similarities.
K-means Clustering: Automatically groups similar audio segments, providing users with an organized view of musical similarities.
Browser Compatibility: Currently optimized for Chrome and Firefox, making it accessible for a large user base.
Future Enhancements: Plans for features like audio recording, beat detection, mobile support, and a revamped user interface promise an even richer user experience.

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MusicMappr