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 language | English (US) |
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Pages | 100-107 |
Number of pages | 8 |
State | Published - 2017 |
Event | 3rd AES International Conference on Semantic Audio 2017 - Erlangen, Germany Duration: Jun 22 2017 → Jun 24 2017 |
Other
Other | 3rd AES International Conference on Semantic Audio 2017 |
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Country/Territory | Germany |
City | Erlangen |
Period | 6/22/17 → 6/24/17 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics