Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/C867B2C8-E07D-4D94-910E-13EED20B2F5F | ||
| Year | 2019 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Odysseas Zafeiriou, "Music signal processing techniques", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2019 https://doi.org/10.26233/heallink.tuc.81116 | ||
| Appears in Collections |
Note onset and pitch detection is a standard tool in music signal analysis and processing. In this thesis, after a short introduction to the nature of musical notes and piano notes in particular, we present an overview of various techniques for detecting piano note onsets as well as pitch. Several onset detection algorithms are analyzed and tested against single piano notes and more complex monophonic passages. Subsequent thresholding techniques are used to extract the results, which are finally compared and evaluated. As far as pitch or note detection is concerned, some basic concepts are presented as well as an attempt to tackle the constraints presented by the innate inharmonicity present in piano tuning.
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