Data science for the detection of emerging music styles

Holly Silk, Raul Santos-Rodriguez, Cedric Mesnage, Tijl De Bie, Matt McVicar

Research output: Other contribution

Original languageUndefined
PublisherEPSRC
Publication statusPublished - 2014

Cite this

Silk, H., Santos-Rodriguez, R., Mesnage, C., De Bie, T., & McVicar, M. (2014). Data science for the detection of emerging music styles. EPSRC.
Silk, Holly ; Santos-Rodriguez, Raul ; Mesnage, Cedric ; De Bie, Tijl ; McVicar, Matt. / Data science for the detection of emerging music styles. 2014. EPSRC.
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title = "Data science for the detection of emerging music styles",
author = "Holly Silk and Raul Santos-Rodriguez and Cedric Mesnage and {De Bie}, Tijl and Matt McVicar",
year = "2014",
language = "Undefined",
publisher = "EPSRC",
type = "Other",

}

Silk, H, Santos-Rodriguez, R, Mesnage, C, De Bie, T & McVicar, M 2014, Data science for the detection of emerging music styles. EPSRC.

Data science for the detection of emerging music styles. / Silk, Holly; Santos-Rodriguez, Raul; Mesnage, Cedric; De Bie, Tijl; McVicar, Matt.

EPSRC. 2014, .

Research output: Other contribution

TY - GEN

T1 - Data science for the detection of emerging music styles

AU - Silk, Holly

AU - Santos-Rodriguez, Raul

AU - Mesnage, Cedric

AU - De Bie, Tijl

AU - McVicar, Matt

PY - 2014

Y1 - 2014

M3 - Other contribution

PB - EPSRC

ER -

Silk H, Santos-Rodriguez R, Mesnage C, De Bie T, McVicar M. Data science for the detection of emerging music styles. 2014.