Tytuł:

Music Recommendation System, Journal of Telecommunications and Information Technology, 2014, nr 2

Autor:

Spaleniak, Paweł ; Kostek, Bożena ; Kacznarek, Andrzej ; Hoffmann, Piotr

Temat i słowa kluczowe:

music information retrieval ; Principal Component Analysis ; music parameterization ; music classi cation ; feature vectors

Opis:

The paper focuses on optimization vector content feature for the music recommendation system. For the purpose of experiments a database is created consisting of excerpts of music les. They are assigned to 22 classes corresponding to di erent music genres. Various feature vectors based on low-level signal descriptors are tested and then optimized using correlation analysis and Principal Component Analysis (PCA). Results of the experiments are shown for the variety of feature vectors. Also, a music recommendation system is presented along with its main user interfaces.

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Data wydania:

2014, nr 2

Typ zasobu:

artykuł

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2014.2.1024

ISSN:

1509-4553

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności