Detail publikace

Towards Automatic Measure-Wise Feature Extraction Pipeline for Music Performance Analysis

IŠTVÁNEK, M. MIKLÁNEK, Š.

Originální název

Towards Automatic Measure-Wise Feature Extraction Pipeline for Music Performance Analysis

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The task of obtaining ground-truth annotations is of fundamental importance for music performance analysis. Measure positions could be used to navigate throughout the piece, indicate the tempo changes, or help with structure segmentation. In~this paper, we introduce an automatic measure-wise feature extraction pipeline. We first annotate one interpretation of the string quartet music and use an audio synchronization strategy to transfer measure positions to all other recordings. We extract features related to tempo, dynamics, and timbre. We compute average values in each measure and propose measure-wise feature matrices. This procedure could be used for any number of recordings as long as at least one reference annotation is available. Finally, we create a binary label for each interpretation based on the Czech origin of performers as an experiment and evaluate the measure-wise tempo distribution.

Klíčová slova

feature extraction; measures; music information retrieval; music performance analysis; string quartet

Autoři

IŠTVÁNEK, M.; MIKLÁNEK, Š.

Vydáno

1. 7. 2022

Nakladatel

IEEE

ISBN

978-1-6654-6948-7

Kniha

45th International Conference on Telecommunications and Signal Processing (TSP)

Strany od

192

Strany do

195

Strany počet

4

URL

BibTex

@inproceedings{BUT178803,
  author="Matěj {Ištvánek} and Štěpán {Miklánek}",
  title="Towards Automatic Measure-Wise Feature Extraction Pipeline for Music Performance Analysis",
  booktitle="45th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2022",
  pages="192--195",
  publisher="IEEE",
  doi="10.1109/TSP55681.2022.9851277",
  isbn="978-1-6654-6948-7",
  url="https://ieeexplore.ieee.org/document/9851277"
}