钢琴
自相关
缩小
计算机科学
语音识别
熵(时间箭头)
算法
数学
声学
控制理论(社会学)
人工智能
物理
统计
量子力学
程序设计语言
控制(管理)
作者
Adam Szwajcowski,Adam Pilch
标识
DOI:10.1016/j.apacoust.2020.107359
摘要
Even though modern measurement systems are much more precise than human hearing abilities, aural tuning is still considered as the best and the most reliable piano tuning method. One of the reasons of such state is lack of a precise definition of what a perfect piano tuning should be like. Such problem is caused mainly by inharmonicity of non-perfectly flexible strings. The paper covers implementation of reliable and repeatable method of tuning based on spectral entropy minimization in octaves as well as subjective evaluation of such tuned piano’s sound. Results were compared with these obtained by applying alternative methods (base frequency tuning, autocorrelation-based tuning, aural tuning) and discussed in context of practical applications.
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