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Changing timbre and phrase in existing musical performances as you like

机译:根据需要更改现有音乐表演中的音色和短语

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This paper presents a new music manipulation method that can change the timbre and phrases of an existing instrumental performance in a polyphonic sound mixture. This method consists of three primitive functions: 1) extracting and analyzing of a single instrumental part from polyphonic music signals, 2) mixing the instrument timbre with another, and 3) rendering a new phrase expression for another given score. The resulting customized part is re-mixed with the remaining parts of the original performance to generate new polyphonic music signals. A single instrumental part is extracted by using an integrated tone model that consists of harmonic and inharmonic tone models with the aid of the score of the single instrumental part. The extraction incorporates a residual model for the single instrumental part in order to avoid crosstalk between instrumental parts. The extracted model parameters are classified into their averages and deviations. The former is treated as instrument timbre and is customized by mixing, while the latter is treated as phrase expression and is customized by rendering. We evaluated our method in three experiments. The first experiment focused on introduction of the residual model, and it showed that the model parameters are estimated more accurately by 35.0 points. The second focused on timbral customization, and it showed that our method is more robust by 42.9 points in spectral distance compared with a conventional sound analysis-synthesis method, STRAIGHT. The third focused on the acoustic fidelity of customizing performance, and it showed that rendering phrase expression according to the note sequence leads to more accurate performance by 9.2 points in spectral distance in comparison with a rendering method that ignores the note sequence.
机译:本文提出了一种新的音乐处理方法,该方法可以改变和弦混音中现有乐器演奏的音色和乐句。该方法包括三个基本功能:1)从和弦音乐信号中提取和分析单个乐器声部,2)将乐器音色与另一个混音,以及3)为另一个给定的乐谱呈现新的短语表达。将生成的定制部分与原始演奏的其余部分重新混合,以生成新的和弦音乐信号。通过使用综合音色模型提取单个乐器声部,该模型由谐波和非谐波音调模型组成,并借助单个乐器声部的得分。为了避免乐器零件之间的串扰,提取中包含了单个乐器零件的残差模型。提取的模型参数分为其平均值和偏差。前者被视为乐器音色并通过混合进行定制,而后者被视为乐句表达并通过渲染进行定制。我们在三个实验中评估了我们的方法。第一个实验着重于引入残差模型,结果表明模型参数的估计精度更高,为35.0点。第二个重点是音色自定义,它表明,与传统的声音分析-合成方法STRAIGHT相比,我们的方法在频谱距离上具有42.9点的鲁棒性。第三个关注定制性能的声学保真度,它表明,与忽略音符序列的渲染方法相比,根据音符序列的渲染短语表达可以使谱距离上的准确度提高9.2个点。

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