TempEst
Harpsichord Temperament Estimation in a Semantic Web Environment
Bibliographic Data
| ID | 5304840 |
|---|---|
| Authors | Dan Tidhar (Queen Mary University of London, corresponding author), György Fazekas (Queen Mary University of London), Matthias Mauch (0000-0002-4352-6809, National Institute of Advanced Industrial Science and Technology), Simon Dixon (0000-0002-6098-481X, Queen Mary University of London) |
| Year | 2010 |
| Volume | 39 |
| Issue | 4 |
| Pages | 327-336 |
| Publication date | 2010-12-01 |
| 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 | 10.1080/09298215.2010.520720 |
| OpenAlex | W2077803617 |
| Language | EN |
| Citations received | 1 |
| References cited | 7 |
Issues concerning tuning and temperament bear relevance to music research in areas such as historical musicology, performance and recording studies, and music perception. We have recently demonstrated that it is possible to classify keyboard temperament automatically from audio recordings of standard musical works to the extent of accurately distinguishing between six different temperaments often used in harpsichord recordings. The current paper extends this work by combining digital signal processing with semantic computing and demonstrates the use of the temperament classifier in a Semantic Web environment. We present the Temperament Ontology which models the main concepts, relationships, and parameters of musical temperament, and facilitates the description and inference of various characteristics of specific temperaments. We then describe TempEst, a web application for temperament estimation. TempEst integrates the classifier with ontology-based information processing in order to provide an extensible online service, which reports the class and properties of both known and unknown temperaments. TempEst allows users to upload harpsichord recordings, and provides them with an estimated temperament as well as other inferred characteristics of the instrument's tuning
Art · Art history · Computer security · Estimation · Harpsichord · Personality · Psychoanalysis · Temperament · Tempest · World Wide Web · Computer Science · Engineering · Music and Audio Processing · Music Technology and Sound Studies · Psychology · Time Series Analysis and Forecasting
| Citations per year | 0.06 |
|---|---|
| Citation span | 2010 - 2010 (1) |
| Highly cited | No |