- Tytuł:
- Classification of Music Genres Based on Music Separation into Harmonic and Drum Components
- Autorzy:
-
Rosner, A.
Schuller, B.
Kostek, B. - Powiązania:
- https://bibliotekanauki.pl/articles/177566.pdf
- Data publikacji:
- 2014
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
music information retrieval
musical sound separation
drum separation
music genre classification
support vector machine (SVM)
co-training
nonnegative matrix factorization - Opis:
- This article presents a study on music genre classification based on music separation into harmonic and drum components. For this purpose, audio signal separation is executed to extend the overall vector of parameters by new descriptors extracted from harmonic and/or drum music content. The study is performed using the ISMIS database of music files represented by vectors of parameters containing music features. The Support Vector Machine (SVM) classifier and co-training method adapted for the standard SVM are involved in genre classification. Also, some additional experiments are performed using reduced feature vectors, which improved the overall result. Finally, results and conclusions drawn from the study are presented, and suggestions for further work are outlined.
- Źródło:
-
Archives of Acoustics; 2014, 39, 4; 629-638
0137-5075 - Pojawia się w:
- Archives of Acoustics
- Dostawca treści:
- Biblioteka Nauki
Artykuł