Paper Info
Title
A Polyphonic Music Retrieval System Using N-Grams
Abstract
This paper describes the development of a polyphonic mu- sic retrieval system with the n-gram approach. Musical n-grams are constructed from polyphonic musical perfor- mances in MIDI using the pitch and rhythm dimensions of music. These are encoded using text characters enabling the musical words generated to be indexed with existing text search engines. The Lemur Toolkit was adapted for the development of a demonstrator system on a collection of around 10,000 polyphonic MIDI performances. The in- dexing, search and retrieval with musical n-grams and this toolkit have been extensively evaluated through a series of experimental work over the past three years, published elsewhere. We discuss how the system works internally and describe our proposal for enhancements to Lemur to- wards the indexing of 'overlaying' as opposed to index- ing a 'bag of terms'. This includes enhancements to the parser for a 'polyphonic musical word indexer' to incorpo- rate within document position information when indexing adjacent and concurrent musical words. For retrieval of these 'overlaying' musical words, a new proximity-based operator and a ranking function is proposed.
Year
Venue
Keywords
2004
ISMIR 2013
search engine,indexation
Field
DocType
Citations 
Search engine,Computer science,Speech recognition,Polyphony,Adversarial information retrieval,Concept search,Visual Word
Conference
9
PageRank 
References 
Authors
0.58
3
2
Name
Order
Citations
PageRank
Shyamala Doraisamy117019.56
Stefan M. Rüger249951.53