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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of 25th International Conference Radioelektronika

ISBN

978-1-4799-8117-5

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

217-221

Název nakladatele

Neuveden

Místo vydání

Pardubice, Czech Republic

Místo konání akce

Pardubice

Datum konání akce

21. 4. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000380492200046