Clarinet: A Music Retrieval System
TL
TL;DR
A MIDI based approach for music recognition is proposed and implemented, and a novel melody extraction algorithm is designed that improves recall results by more than 10%.
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%.
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Neural Audio Fingerprint for High-Specific Audio Retrieval Based on Contrastive Learning
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What does the Mongeau-Sankoff algorithm compute?
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