Pitch contours as a mid-level representation for music informatics

Rachel M. Bittner, Justin Salamon, Juan J. Bosch, Juan P. Bello

Research output: Contribution to conferencePaper

Abstract

Content-based Music Informatics includes tasks that involve estimating the pitched content of music, such as the main melody or the bass line. To date, the field lacks a good machine representation that models the human perception of pitch, with each task using specific, tailored representations. This paper proposes factoring pitch estimation problems into two stages, where the output of the first stage for all tasks is a multipitch contour representation. Further, we propose the adoption of pitch contours as a unit of pitch organization. We give a review of the existing work on contour extraction and characterization and present experiments that demonstrate the discriminability of pitch contours.

Original languageEnglish (US)
Pages100-107
Number of pages8
StatePublished - Jan 1 2017
Event3rd AES International Conference on Semantic Audio 2017 - Erlangen, Germany
Duration: Jun 22 2017Jun 24 2017

Other

Other3rd AES International Conference on Semantic Audio 2017
CountryGermany
CityErlangen
Period6/22/176/24/17

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

Bittner, R. M., Salamon, J., Bosch, J. J., & Bello, J. P. (2017). Pitch contours as a mid-level representation for music informatics. 100-107. Paper presented at 3rd AES International Conference on Semantic Audio 2017, Erlangen, Germany.