Exploring common variations in state of the art chord recognition systems

Taemin Cho, Ron J. Weiss, Juan P. Bello

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Most automatic chord recognition systems follow a standard approach combining chroma feature extraction, filtering and pattern matching. However, despite much research, there is little understanding about the interaction between these different components, and the optimal parameterization of their variables. In this paper we perform a systematic evaluation including the most common variations in the literature. The goal is to gain insight into the potential and limitations of the standard approach, thus contributing to the identification of areas for future development in automatic chord recognition. In our study we find that filtering has a significant impact on performance, with self-transition penalties being the most important parameter; and that the benefits of using complex models are mostly, but not entirely, offset by an appropriate choice of filtering strategies.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th Sound and Music Computing Conference, SMC 2010
PublisherSound and music Computing network
Pages31
Number of pages1
StatePublished - 2010
Event7th Sound and Music Computing Conference, SMC 2010 - Barcelona, Spain
Duration: Jul 21 2010Jul 24 2010

Other

Other7th Sound and Music Computing Conference, SMC 2010
CountrySpain
CityBarcelona
Period7/21/107/24/10

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Exploring common variations in state of the art chord recognition systems'. Together they form a unique fingerprint.

Cite this