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%.
翻译:本文提出并实施了基于 MIDI 的音乐识别方法。 我们的 Clarinet 音乐检索系统旨在以高回调和高速搜索钢琴 MIDI 文档。 我们设计了一种新型的旋律提取算法, 将回溯结果提高10%以上。 我们还实施了3种检索算法(RSA Notes and RSA Time), 并修订了Mongeau Sankoff Algorithm 。 本文也讨论了用于实现节奏和规模变化的 Algorithms 。 本文还载有详细的实验和基准, 包括4种不同的计量。 Clarinet 的回溯得分超过94% 。