Segmentation process and spectral characteristics in the determination of musical genres

Over the past few years there has been a tendency to store audio tracks for later use on CD-DVDs, HDD-SSDs as well as on the internet, which makes it challenging to classify the information either online or offline. For this purpose, the audio tracks must be tagged. Tags are said to be texts based o...

Full description

Autores:

amelec, viloria
Pineda Lezama, Omar Bonerge
Cabrera, Danelys

Tipo de recurso:

Article of journal

Fecha de publicación:

2020

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/7657

Acceso en línea:

https://hdl.handle.net/11323/7657
https://repositorio.cuc.edu.co/

Palabra clave:

Supervised learning algorithms
Music genres classification
Centroid (SC)
Flatness (SF)
Spread (SS)

Rights

openAccess

License

CC0 1.0 Universal