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The Design Of Piano Tuning Software

Posted on:2009-10-14Degree:MasterType:Thesis
Country:ChinaCandidate:J F SuFull Text:PDF
GTID:2178360242977851Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
Because of the growing popularity of the piano, the demand of piano tuning is also growing. Generally professional monitors determine piano's intonation through their hearing, and this must be influenced by physiology, psychology and objective environment .There will be some mistakes in it unavoidably. Therefore in this paper a software is designed to determine piano's intonation by computer.In this article we give the basic method of the piano tuning from the physical property of piano sound and the corresponding physics model. And from time and frequency range,we analysis musical note signal processing method systematically. And use some algorithms of speech signal processing in the musical note detection, then we make some advance according to the characteristics of the piano tuning. In the tone detection, because the piano sound range is wider than the speech range, using single algorithm can not satisfy the accuracy requirement, in this paper a method of measuring the basic frequency of the piano string by partitions is suggested to you. The range of piano tone is divided into two sections—the part of low frequency and another part of high frequency part. Improved autocorrelation is used in the part of low frequency and harmonics peak value method is used in another part. Experiments proved that this method is better than using a single algorithm to detect the pitch of piano.The piano tuning software designed in this paper makes it possible for computers to measure the basic frequency of the piano string with high precision, and can fully meet the actual needs and can also utilize in other stringed musical instrument tuning work. The theories and methods used in the research can provide objective basis and ideas for the further work.
Keywords/Search Tags:Piano turning, Speech signal processing, Sub-Pitch Detection, Improved autocorrelation, Harmonics peak value
PDF Full Text Request
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