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Instrument-centered Music Transcription of Bass Guitar Tracks

机译:低音吉他音轨的以乐器为中心的音乐转录

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In this paper, we propose an instrument-centered bass guitar transcription algorithm. Instead of aiming at a general-purpose bass transcription algorithm, we incorporate knowledge about the instrument construction and typical playing techniques of the electric bass guitar. In addition to the commonly extracted score-level parameters note onset, offset, and pitch, we also estimate the additional instrument-level note parameters string number, fret number, plucking style, and expression style. The proposed algorithm achieved an F-measure value of 0.901 for the note-wise transcription evaluation on a novel evaluation dataset and outperformed three state-of-the-art bass transcription algorithms.
机译:在本文中,我们提出了一种以乐器为中心的低音吉他转录算法。我们没有针对通用低音转录算法,而是结合了有关电贝司吉他的乐器结构和典型演奏技术的知识。除了通常提取的乐谱级别参数音符的开始,偏移和音高之外,我们还估计其他乐器级音符参数的字符串编号,品格编号,弹奏风格和表达风格。所提出的算法在新型评估数据集上的音符转录评估的F度量值达到0.901,并且优于三种最新的低音转录算法。

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