Publication detail

Enhancement of Beat Tracking in String Quartet Music Analysis Based on the Teager-Kaiser Energy Operator

MEKYSKA, J IŠTVÁNEK, M. SPURNÝ, L. SMÉKAL, Z.

Original Title

Enhancement of Beat Tracking in String Quartet Music Analysis Based on the Teager-Kaiser Energy Operator

English Title

Enhancement of Beat Tracking in String Quartet Music Analysis Based on the Teager-Kaiser Energy Operator

Type

conference paper

Language

en

Original Abstract

Beat detection systems are widely used in music information retrieval (MIR) research field for the computation of tempo and beat positions in audio signals. One of the most important parts of these systems is the onset detection function. The aim of this study is to introduce an enhancement of a conventional onset detector and employ it in a beat tracking system that could be utilized for an analysis of interpretation and performance changes in string quartets. The enhancement is based on the Teager-Kaiser energy operator (TKEO), which pre-processes input audio signal before spectral flux calculation. The proposed approach is firstly evaluated in terms of ability to estimate global tempo (GT) of a given audio track. Next, the accuracy of the GT estimation is compared with a manually-labelled reference dataset. Then, this system was tested on the first motif of the string quartet database. Results suggest that the TKEO could improve accuracy of the GT estimation. Average deviation from the reference tempo in the string quartet is 8.29%, which slightly improves the conventional methodology, where the deviance is 8.96%. This study has a pilot character and provides some suggestions of the beat tracking system enhancement.

English abstract

Beat detection systems are widely used in music information retrieval (MIR) research field for the computation of tempo and beat positions in audio signals. One of the most important parts of these systems is the onset detection function. The aim of this study is to introduce an enhancement of a conventional onset detector and employ it in a beat tracking system that could be utilized for an analysis of interpretation and performance changes in string quartets. The enhancement is based on the Teager-Kaiser energy operator (TKEO), which pre-processes input audio signal before spectral flux calculation. The proposed approach is firstly evaluated in terms of ability to estimate global tempo (GT) of a given audio track. Next, the accuracy of the GT estimation is compared with a manually-labelled reference dataset. Then, this system was tested on the first motif of the string quartet database. Results suggest that the TKEO could improve accuracy of the GT estimation. Average deviation from the reference tempo in the string quartet is 8.29%, which slightly improves the conventional methodology, where the deviance is 8.96%. This study has a pilot character and provides some suggestions of the beat tracking system enhancement.

Keywords

beat tracking system; music analysis; music information retrieval; Teager-Kaiser energy operator; onset detection; spectral flux; string quartet music

Released

01.07.2019

ISBN

978-1-7281-1864-2

Book

42nd International Conference on Telecommunications and Signal Processing (TSP)

Pages from

351

Pages to

354

Pages count

4

URL

BibTex


@inproceedings{BUT157968,
  author="Matěj {Ištvánek} and Zdeněk {Smékal}",
  title="Enhancement of Beat Tracking in String Quartet Music Analysis Based on the Teager-Kaiser Energy Operator",
  annote="Beat detection systems are widely used in music information retrieval (MIR) research field for the computation of tempo and beat positions in audio signals. One of the most important parts of these systems is the onset detection function. The aim of this study is to introduce an enhancement of a conventional onset detector and employ it in a beat tracking system that could be utilized for an analysis of interpretation and performance changes in string quartets. The enhancement is based on the Teager-Kaiser energy operator (TKEO), which pre-processes input audio signal before spectral flux calculation. The proposed approach is firstly evaluated in terms of ability to estimate global tempo (GT) of a given audio track. Next, the accuracy of the GT estimation is compared with a manually-labelled reference dataset. Then, this system was tested on the first motif of the string quartet database. Results suggest that the TKEO could improve accuracy of the GT estimation. Average deviation from the reference tempo in the string quartet is 8.29%, which slightly improves the conventional methodology, where the deviance is 8.96%. This study has a pilot character and provides some suggestions of the beat tracking system enhancement.",
  booktitle="42nd International Conference on Telecommunications and Signal Processing (TSP)",
  chapter="157968",
  doi="10.1109/TSP.2019.8769118",
  howpublished="print",
  year="2019",
  month="july",
  pages="351--354",
  type="conference paper"
}