A generative model for the characterization of musical rhythms
Bibliographic Data
| ID | 14872113 |
|---|---|
| Authors | George Sioros (0000-0002-0204-204X, INESC-TEC, Sound and Music Computing Group , Porto, Portugal, corresponding author), M E P Davies (0000-0002-1315-3992, Arts & Humanities, New York University Abu Dhabi , Abu Dhabi, United Arab Emirates), Cristiano Guedes (0000-0002-1898-2183, INESC-TEC, Sound and Music Computing Group , Porto, Portugal) |
| Year | 2018 |
| Volume | 47 |
| Issue | 2 |
| Pages | 114-128 |
| Publication date | 2018-03-15 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of New Music Research (JOURNAL) |
| Journal identifiers | ISSN: 0929-8215 • E-ISSN: 1744-5027 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/09298215.2017.1409769 |
| OpenAlex | W2781175479 |
| Language | EN |
| Citations received | 2 |
| References cited | 23 |
We present a novel model for the characterization of musical rhythms that is based on the pervasive rhythmic phenomenon of syncopation. Syncopation is felt when the sensation of the regular beat or pulse in the music is momentarily disrupted; the feeling arises from breaking more expected patterns such as pickups (anacrusis) and faster events that introduce and bridge the notes articulated on the beats. Our model begins with a simple pattern that articulates a beat consistent with the metrical expectations of a listener. Any rhythm is then generated from a unique combination of transformations applied on that simple pattern. Each transformation introduces notes in off-beat positions as one of three basic characteristic elements: (1) syncopations, (2) pickup rhythmic figures and (3) faster notes that articulate a subdivision of the beat. The characterization of a pattern is based on an algorithm that discovers and reverses the transformations in a stepwise manner. We formalize the above transformations and present the characterization algorithm, and then demonstrate and discuss the model through the analysis of the main rhythmic pattern of the song ‘Don’t stop ‘till you get enough’ by Michael Jackson
Acoustics · Aesthetics · Art · Musical · Physics · Rhythm · Speech recognition · Visual arts · Communication · Computer Science · Music and Audio Processing · Music Technology and Sound Studies · Neuroscience and Music Perception · Psychology
| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2023 (2) |
| Highly cited | No |