Detail publikace

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

IŠTVÁNEK, M. MIKLÁNEK, Š.

Originální název

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

Typ

prezentace, poster

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

IŠTVÁNEK, M.; MIKLÁNEK, Š.

Vydáno

9. 11. 2023

Nakladatel

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

Místo

Milán, Itálie

Strany počet

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"
}