Clarinet: A Music Retrieval System

TL;DR

This paper introduces Clarinet, a MIDI-based music retrieval system that employs novel melody extraction and retrieval algorithms, achieving high recall and speed for piano MIDI file searches.

Contribution

The paper presents a new melody extraction algorithm and three retrieval algorithms, including two self-designed and one modified, enhancing music retrieval accuracy and efficiency.

Findings

Melody extraction improves recall by over 10%

Clarinet achieves over 94% recall score

System demonstrates high speed and accuracy in music retrieval

Abstract

A MIDI based approach for music recognition is proposed and implemented in this paper. Our Clarinet music retrieval system is designed to search piano MIDI files with high recall and speed. We design a novel melody extraction algorithm that improves recall results by more than 10%. We also implement 3 algorithms for retrieval-two self designed (RSA Note and RSA Time), and a modified version of the Mongeau Sankoff Algorithm. Algorithms to achieve tempo and scale invariance are also discussed in this paper. The paper also contains detailed experimentation and benchmarks with four different metrics. Clarinet achieves recall scores of more than 94%.