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.

Comparison of tuning frequency estimation methods

DEGANI, Alessio;DALAI, Marco;LEONARDI, Riccardo;MIGLIORATI, Pierangelo
2015-01-01

Abstract

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.
File in questo prodotto:
File Dimensione Formato  
DDLM_MTAP-2015_full-text.pdf

solo utenti autorizzati

Descrizione: DDLM_MTAP-2015_full-text
Tipologia: Full Text
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 742.41 kB
Formato Adobe PDF
742.41 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/342707
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 2
social impact