The influence of polyphony on the dynamical modelling of musical timbre
The influence of polyphony on the dynamical modelling of musical timbre
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DOI：
10.1016/j.patrec.2006.11.004
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发表时间：
2007-04-01
影响因子：
5.1
通讯作者：
Pachet, Francois
中科院分区：
文献类型：
--
作者：
Aucouturier, Jean-Julien;Pachet, Francois
这封信解决了复调音乐音色的模式识别问题。音频特征的帧级动态尤其难以建模，尽管它们已被确定为音色感知的关键感知维度。最近的研究似乎表明，数据动态建模的传统方法，例如增量系数、纹理窗口或马尔可夫建模，与现实世界中几秒长度的复杂复调纹理的最佳静态模型相比没有任何改进。这与单个乐器音符感知的实验数据相矛盾。这封信描述了一个实验来确定这一矛盾的原因。我们认为，对整首歌曲的动态进行建模的困难要么是由于音符时间连续的复杂结构，要么是由于单个音符的垂直复调性质。我们通过比较静态和动态算法在几个专门设计的数据集（即单音单个音符、复音单个音符和复音多音符纹理）上的性能来区分这两种假设。我们的结论是，对现实世界的复调音乐纹理进行动态建模困难的主要原因是数据的复调性质。 (c) 2006 Elsevier B.V. 保留所有权利。
This letter addresses the problem of pattern recognition of polyphonic musical timbre. Frame-level dynamics of audio features are particularly difficult to model, although they have been identified as crucial perceptive dimensions of timbre perception. Recent studies seem to indicate that traditional means to model data dynamics, such as delta-coefficients, texture windows or Markov modelling, do not provide any improvement over the best static models for real-world, complex polyphonic textures of several seconds' length. This contradicts experimental data on the perception of individual instrument notes. This letter describes an experiment to identify the cause of this contradiction. We propose that the difficulty of modelling the dynamics of full songs results either from the complex structure of the temporal succession of notes, or from the vertical polyphonic nature of individual notes. We discriminate between both hypothesis by comparing the performance of static and dynamical algorithms on several specially designed datasets, namely monophonic individual notes, polyphonic individual notes, and polyphonic multiple-note textures. We conclude that the main cause of the difficulty of modelling dynamics of real-world polyphonic musical textures is the polyphonic nature of the data. (c) 2006 Elsevier B.V. All rights reserved.