- Tytuł:
- Music Mood Visualization Using Self-Organizing Maps
- Autorzy:
-
Plewa, M.
Kostek, B. - Powiązania:
- https://bibliotekanauki.pl/articles/176410.pdf
- Data publikacji:
- 2015
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
music mood
music parameterization
MER (Music Emotion Recognition)
MIR (Music Information Retrieval)
Multidimensional Scaling (MDS)
principal component analysis (PCA)
Self-Organizing Maps (SOM)
ANN (Artificial Neural Networks) - Opis:
- Due to an increasing amount of music being made available in digital form in the Internet, an automatic organization of music is sought. The paper presents an approach to graphical representation of mood of songs based on Self-Organizing Maps. Parameters describing mood of music are proposed and calculated and then analyzed employing correlation with mood dimensions based on the Multidimensional Scaling. A map is created in which music excerpts with similar mood are organized next to each other on the two-dimensional display.
- Źródło:
-
Archives of Acoustics; 2015, 40, 4; 513-525
0137-5075 - Pojawia się w:
- Archives of Acoustics
- Dostawca treści:
- Biblioteka Nauki
Artykuł