In Search of Harmony
A Constraint-Based Approach to the Task of Harmony Retrieval
Bibliographic Data
| ID | 14872136 |
|---|---|
| Authors | Tamar Berman (University of Illinois Urbana-Champaign, corresponding author) |
| Year | 2007 |
| Volume | 36 |
| Issue | 4 |
| Pages | 301-312 |
| Publication date | 2007-12-01 |
| 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 | 10.1080/09298210801927820 |
| OpenAlex | W2012189519 |
| Language | EN |
| References cited | 5 |
This paper describes a system prototype of a search engine for harmony sequences. The system, which was successfully tested on midi sequences of music by W.A. Mozart, has several distinguishing features. These include: (a) a user-friendly interface for specification of the sequence through pitch and time constraints, (b) support for the retrieval of sequences comprised of complex events containing both melodic and harmonic features, which may be interspersed by non-sequence data, and (c) pitches are stored as categorized distances from an anchor point, resulting in immediate, online calculation of tonal functions. A method for the representation and retrieval of harmony sequences will be described. This method makes use of the music theoretical concepts of schema and style structure, and has been successfully applied to the tasks of schema retrieval, similarity retrieval, theme retrieval and data mining
Harmony search · Information retrieval · Melody · MIDI · Music Information Retrieval · Computer Science · Music and Audio Processing · Music Technology and Sound Studies · Neuroscience and Music Perception · Artificial Intelligence
| Highly cited | No |
|---|