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Clarinet: A Music Retrieval System
October 23, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Kshitij Alwadhi, Rohan Sharma, Siddhant Sharma
arXiv ID
2210.12648
Category
cs.IR: Information Retrieval
Cross-listed
cs.SD,
eess.AS
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
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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