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Comparison of fundamental frequency detection methods and introducing simple self-repairing algorithm for musical applications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU113859" target="_blank" >RIV/00216305:26220/15:PU113859 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/7129013" target="_blank" >https://ieeexplore.ieee.org/document/7129013</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/RADIOELEK.2015.7129013" target="_blank" >10.1109/RADIOELEK.2015.7129013</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of fundamental frequency detection methods and introducing simple self-repairing algorithm for musical applications

  • Original language description

    This paper presents the comparison of five commonly used methods for fundamental frequency detection in speech signal, exactly in vocal and melodic instrument signals. The efficiency of chosen method is verified on known set of musical notes performed by bass clarinet. The highest efficiency in fundamental frequency detection was reached by AutoCorrelation (ACF) and Modified AutoCorrelation (MACF) functions. Self-repairing algorithm is also described in this paper and it can be defined as a useful tool for correction of inaccurately found fundamental frequencies related to relevant musical notes. For correct pitch detection and self-repairing algorithm function, as the most appropriate segment length can be set as a half value of the shortest known musical note in analysed signal. Due to high efficiency and low computational preformance, the combination of ACF, MACF respectively, with self-repairing algorithm supplemented by some fundamental frequency changing method can be used as an effective almost real-time tool for tuning and other musical applications.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of 25th International Conference Radioelektronika

  • ISBN

    978-1-4799-8117-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    217-221

  • Publisher name

    Neuveden

  • Place of publication

    Pardubice, Czech Republic

  • Event location

    Pardubice

  • Event date

    Apr 21, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000380492200046