Name
Abstract | ||
|---|---|---|
Musical instrument sounds can be classified in various ways, depending on the instrument or articulation classification. This paper presents a number of possible generalizations of musical instruments sounds classification which can be used to construct different hierarchical decision attributes. Each decision attribute will lead us to a new classifier and the same to a different system for automatic indexing of music by instrument sounds and their generalizations. Values of a decision attribute and their generalizations are used to construct atomic queries of a query language built for retrieving musical objects from MIR Database (see http://www.mir.uncc.edu). When query fails, the cooperative strategy will try to find its lowest generalization which does not fail, taking into consideration all available hierarchical attributes. Thus, the music object representing most similar object in the database is returned as the query answer. This paper evaluates only two hierarchical attributes upon the same dataset which contains 2628 distinct musical samples of 102 instruments from McGill University Master Samples (MUMS) CD Collection. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/MUE.2007.159 | MUE |
Keywords | Field | DocType |
decision attribute,musical instrument,available hierarchical attribute,musical instrument sound,multi-way hierarchic classification,instrument sound,different hierarchical decision attribute,musical object,hierarchical attribute,distinct musical sample,atomic query,information retrieval,music,query languages,computer science,information technology,solids,database languages,query language,audio signal processing,frequency | Music information retrieval,Query language,Information retrieval,Musical,Computer science,Generalization,Musical instrument,Natural language processing,Artificial intelligence,Classifier (linguistics),Audio signal processing,Automatic indexing | Conference |
ISBN | Citations | PageRank |
0-7695-2777-9 | 6 | 0.51 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alicja A. Wieczorkowska | 1 | 321 | 35.89 |
| Zbigniew W. Ras | 2 | 1453 | 183.82 |
| Xin Zhang | 3 | 10 | 0.98 |
| Rory A. Lewis | 4 | 57 | 10.07 |