Paper Info
Title
A Comparative and Fault-tolerance Study of the Use of N-grams with Polyphonic Music
Abstract
In this paper we investigate the retrieval performance of monophonic queries made on a polyphonic music database using the n-gram approach for full-music indexing. The pitch and rhythm dimensions of music are used, and the musical words (a term coined by Downie (2)) generated enable text retrieval methods to be used with music retrieval. We outline an experimental framework for a comparative and fault-tolerance study of various n-gramming strategies and encoding precision using six experimental databases. For monophonic queries we focus in particular on query-by-humming (QBH) systems. Error models addressed in several QBH studies are surveyed for the fault-tolerance study. Our experiments show that different n- gramming strategies and encoding precision differ widely in their effectiveness. We present the results of our comparative and fault- tolerance study on a collection of 5380 polyphonic music pieces encoded in the MIDI format.
Year
Venue
Keywords
2002
ISMIR 2013
fault tolerant,indexation
Field
DocType
Citations 
Musical,Computer science,Search engine indexing,MIDI,Speech recognition,Fault tolerance,Artificial intelligence,Natural language processing,Polyphony,Rhythm,Text retrieval,Encoding (memory)
Conference
11
PageRank 
References 
Authors
1.09
10
2
Name
Order
Citations
PageRank
Shyamala Doraisamy117019.56
Stefan M. Rüger249951.53