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Estimation of harpsichord inharmonicity and temperament from musical recordings

机译:从唱片中估计大键琴不和谐和气质

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The inharmonicity of vibrating strings can easily be estimated from recordings of isolated tones. Likewise, the tuning system (temperament) of a keyboard instrument can be ascertained from isolated tones by estimating the fundamental frequencies corresponding to each key of the instrument. This paper addresses a more difficult problem: the automatic estimation of the inharmonicity and temperament of a harpsichord given only a recording of an unknown musical work. An initial conservative transcription is used to generate a list of note candidates, and high-precision frequency estimation techniques and robust statistics are employed to estimate the inharmonicity and fundamental frequency of each note. These estimates are then matched to a set of known keyboard temperaments, allowing for variation in the tuning reference frequency, in order to obtain the temperament used in the recording. Results indicate that it is possible to obtain inharmonicity estimates and to classify keyboard temperament automatically from audio recordings of standard musical works, to the extent of accurately (96) distinguishing between six different temperaments commonly used in harpsichord recordings. Although there is an interaction between inharmonicity and temperament, this is shown to be minor relative to the tuning accuracy.
机译:可以从孤立音调的记录中轻松估算出振动弦的不谐音。同样,可以通过估计与乐器每个键相对应的基本频率,从孤立的音调中确定键盘乐器的调音系统(气质)。本文解决了一个更棘手的问题:仅记录未知音乐作品就自动估计了大键琴的不谐调和气质。最初的保守转录用于生成候选音符列表,高精度频率估计技术和可靠的统计数据用于估计每个音符的不谐度和基频。然后,将这些估计值与一组已知的键盘气质相匹配,从而允许调整参考频率,以获得记录中使用的气质。结果表明,可以从标准音乐作品的音频记录中获得不谐音估计并自动对键盘气质进行分类,以达到准确区分(96)大键琴记录中常用的六种不同气质的程度。尽管在不谐音和气质之间存在相互作用,但相对于调谐精度而言,这种相互作用很小。

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