Learning and clean-up in a large scale music database |
|
| Abstract | We have collected a database of musical features from radio broadcasts
(N > 100.000). The database poses a number of hard modeling challenges including: Segmentation problems and missing metadata. We describe our efforts towards cleaning the database using signal processing and machine learning tools. |
| Keywords | Databases, Multimedia databases |
| Type | Conference paper [With referee] |
| Conference | EUSIPCO 2007 |
| Year | 2007 |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |