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Time and frequency estimatiοn in guitar signals

Tazes Athanasios

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URI: http://purl.tuc.gr/dl/dias/19EEA70F-4654-417E-9757-254B2935A723
Year 2019
Type of Item Diploma Work
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Bibliographic Citation Αθανάσιος Ταζές, "Χρονική και συχνοτική εκτίμηση σε σήματα κιθάρας", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2019 https://doi.org/10.26233/heallink.tuc.81114
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Summary

In this thesis, a complete note onset estimation and pitch detection system ispresented, tuned for guitar music signals. The goal of this system is to rstestimate the point in time that a single note was played and then attributea frequency to it. This task is then extended to a sequence of played notes.Various onset and pitch estimation algorithms were tested and compared,taking into account both their eciency to complete the task, accurate tran-sciption of the signal, as well as their computational complexity timewise,thus achieving processing time less than or equal to the duration of the mu-sic signal.

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