Learning and clean-up in a large scale music database

Publication: Research › Article in proceedings – Annual report year: 2007

Standard

Learning and clean-up in a large scale music database. / Hansen, Lars Kai ; Lehn-Schiøler, Tue; Petersen, Kaare Brandt; Arenas-Garcia, Jeronimo; Larsen, Jan ; Jensen, Søren Holdt.

In: EUSIPCO 2007. 2007.

Publication: Research › Article in proceedings – Annual report year: 2007

In: EUSIPCO 2007. 2007.

Publication: Research › Article in proceedings – Annual report year: 2007

Bibtex

@inbook{30a2f7b1fb4846069394b676da37ab46,

title = "Learning and clean-up in a large scale music database",

author = "Hansen, {Lars Kai} and Tue Lehn-Schiøler and Petersen, {Kaare Brandt} and Jeronimo Arenas-Garcia and Jan Larsen and Jensen, {Søren Holdt}",

year = "2007",

booktitle = "EUSIPCO 2007",

}

RIS

TY - GEN

T1 - Learning and clean-up in a large scale music database

A1 - Hansen,Lars Kai

A1 - Lehn-Schiøler,Tue

A1 - Petersen,Kaare Brandt

A1 - Arenas-Garcia,Jeronimo

A1 - Larsen,Jan

A1 - Jensen,Søren Holdt

AU - Hansen,Lars Kai

AU - Lehn-Schiøler,Tue

AU - Petersen,Kaare Brandt

AU - Arenas-Garcia,Jeronimo

AU - Larsen,Jan

AU - Jensen,Søren Holdt

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Databases

KW - Multimedia databases

BT - EUSIPCO 2007

T2 - EUSIPCO 2007

ER -