caa a22 4500 60544773X CHVBK 20210128100133.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11042-014-1897-2 doi (NATIONALLICENCE)springer-10.1007/s11042-014-1897-2 Comparison of tuning frequency estimation methods [Elektronische Daten] [Alessio Degani, Marco Dalai, Riccardo Leonardi, Pierangelo Migliorati] In this paper, a comparison of different algorithms for concert pitch (i.e., tuning frequency or reference frequency) estimation is presented and discussed. The unavailability of ground-truth datasets makes this evaluation on real music recordings less trivial than it may initially appear. Hence, in this paper we use two datasets, one of real music (covers80 provided by LabROSA) and one of synthesized music (MS2012, constructed by the authors). The algorithms have been compared in terms of speed of convergence and stability of the estimated value over an increasing length of the analysed signal. A local tuning frequency estimation was also performed in order to compare the ability of the algorithms to follow the local variations of the reference frequency in a real-time environment. Moreover, an analysis of the execution time have been provided. While the various algorithms perform comparably in terms of asymptotic precision, they show a quite different behaviour in terms of speed of convergence and local tuning frequency estimation accuracy. Springer Science+Business Media New York, 2014 Tuning frequency nationallicence Concert pitch nationallicence Concert-A nationallicence Estimation nationallicence Comparison nationallicence Degani Alessio Signals and Communications Lab, Department of Information Engineering (DII), University of Brescia, Via Branze, 38, 25123, Brescia, Italy aut Dalai Marco Signals and Communications Lab, Department of Information Engineering (DII), University of Brescia, Via Branze, 38, 25123, Brescia, Italy aut Leonardi Riccardo Signals and Communications Lab, Department of Information Engineering (DII), University of Brescia, Via Branze, 38, 25123, Brescia, Italy aut Migliorati Pierangelo Signals and Communications Lab, Department of Information Engineering (DII), University of Brescia, Via Branze, 38, 25123, Brescia, Italy aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5917-5934 1380-7501 74:15<5917 2015 74 11042 https://doi.org/10.1007/s11042-014-1897-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-1897-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Degani Alessio Signals and Communications Lab, Department of Information Engineering (DII), University of Brescia, Via Branze, 38, 25123, Brescia, Italy aut NATIONALLICENCE 700 1- Dalai Marco Signals and Communications Lab, Department of Information Engineering (DII), University of Brescia, Via Branze, 38, 25123, Brescia, Italy aut NATIONALLICENCE 700 1- Leonardi Riccardo Signals and Communications Lab, Department of Information Engineering (DII), University of Brescia, Via Branze, 38, 25123, Brescia, Italy aut NATIONALLICENCE 700 1- Migliorati Pierangelo Signals and Communications Lab, Department of Information Engineering (DII), University of Brescia, Via Branze, 38, 25123, Brescia, Italy aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5917-5934 1380-7501 74:15<5917 2015 74 11042