Publication detail

MemoVision: a tool for feature selection and visualization of performance data

IŠTVÁNEK, M. MIKLÁNEK, Š.

Original Title

MemoVision: a tool for feature selection and visualization of performance data

Type

presentation, poster

Language

English

Original Abstract

Music performance analysis has traditionally been a peripheral topic in the music information retrieval community. However, it is sometimes included in the goals of music information retrieval studies—from low- and high-level parameter detection and synchronization methods to feature selection and measure transfer. In this contribution, we introduce the MemoVision software, which utilizes retrieval and feature selection methods for comparative music analysis. It is built with JavaScript and Python languages, combining the accessibility of a web-based interface and state-of-the-art feature extraction possibilities. Its features can be used separately or as a visualization tool for music performance case studies.

Keywords

music information retrieval; feature selection; software; memovision; music analysis

Authors

IŠTVÁNEK, M.; MIKLÁNEK, Š.

Released

9. 11. 2023

Publisher

Rozšířený abstrakt pro Late-Breaking Demo Session, konference International Society for Music Information Retrieval (ISMIR 2023)

Location

Milán, Itálie

Pages count

3

URL

https://ismir2023program.ismir.net/lbd_322.html

BibTex

@misc{BUT185742,
  author="Matěj {Ištvánek} and Štěpán {Miklánek}",
  title="MemoVision: a tool for feature selection and visualization of performance data",
  year="2023",
  pages="3",
  publisher="Rozšířený abstrakt pro Late-Breaking Demo Session, konference International Society for Music Information Retrieval (ISMIR 2023)",
  address="Milán, Itálie",
  url="https://ismir2023program.ismir.net/lbd_322.html",
  note="presentation, poster"
}