Name
Abstract | ||
|---|---|---|
This tutorial serves as an introductory course to the field of and state-of-the-art in music information retrieval (MIR) and in particular to music similarity estimation which is an essential component of music retrieval. Apart from explaining approaches that estimate similarity based on acoustic properties of an audio signal, we review methods that exploit (mostly textual) meta-data from the Web to build representations of music then used for similarity calculation. Additionally, topics such as (large-scale) music indexing, information extraction for music, personalization in music retrieval, and evaluation of MIR systems are addressed. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2484028.2484193 | SIGIR |
Keywords | Field | DocType |
audio signal,music information retrieval,acoustic property,estimate similarity,music indexing,information extraction,music similarity estimation,similarity calculation,music retrieval,mir system | Audio signal,Music information retrieval,Information retrieval,Computer science,Search engine indexing,Exploit,Information extraction,Personalization | Conference |
Citations | PageRank | References |
1 | 0.36 | 20 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Knees | 1 | 594 | 51.71 |
| Markus Schedl | 2 | 1431 | 117.09 |