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POLYPHONIC MUSIC TRANSCRIPTION USING WEIGHTED CQT AND NON-NEGATIVE MATRIX FACTORIZATION

机译:加权CQT和非负矩阵分解的多声音乐转录。

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摘要

Non-negative Matrix Factorization (NMF) is a useful method in music transcription. It achieves high speed computing and high performance. However, low frequency components are not fully detected and frequency confusion occurs occasionally in the conventional NMF based transcription algorithm. We propose a music transcription method using NMF with Weighted Constant-Q Transform (WCQT) to solve this problem. The filter bank of CQT is the same as that of the Western music scale interval, so the frequency components are well analyzed. And the weights on the CQT compensate the relatively small energy in low frequencies. We successfully transcribed polyphonic piano music with the proposed transcription algorithm, and the performance was better than that of the conventional method.
机译:非负矩阵分解(NMF)是音乐转录中的一种有用方法。它实现了高速计算和高性能。但是,在传统的基于NMF的转录算法中,低频成分无法完全检测到,并且偶尔会出现频率混乱。我们提出了一种使用NMF和加权常量Q变换(WCQT)的音乐转录方法来解决此问题。 CQT的滤波器组与西方音乐音阶区间的滤波器组相同,因此可以很好地分析频率分量。 CQT上的权重补偿了低频中相对较小的能量。我们利用提出的转录算法成功地转录了复音钢琴音乐,并且其性能优于传统方法。

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