Autor: Kostek, B. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Auditory Display Applied to Research in Music and Acoustics
Autorzy:: Kostek, B.
Powiązania:: https://bibliotekanauki.pl/articles/176425.pdf
Data publikacji:: 2014
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: auditory display
music
acoustics
music technology
music information retrieval
sonification
music annotation
Opis:: This paper presents a relationship between Auditory Display (AD) and the domains of music and acoustics. First, some basic notions of the Auditory Display area are shortly outlined. Then, the research trends and system solutions within the fields of music technology, music information retrieval and music recommendation and acoustics that are within the scope of AD are discussed. Finally, an example of AD solution based on gaze tracking that may facilitate music annotation process is shown. The paper concludes with a few remarks about directions for further research in the domains discussed.
Źródło:: Archives of Acoustics; 2014, 39, 2; 203-214
0137-5075
Pojawia się w:: Archives of Acoustics
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

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

Skocz do pozycji: 3.

Tytuł:: Music Recommendation System
Autorzy:: Hoffmann, P.
Kaczmarek, A.
Spaleniak, P.
Kostek, B.
Powiązania:: https://bibliotekanauki.pl/articles/308747.pdf
Data publikacji:: 2014
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: feature vectors
music classification
music information retrieval
music parametrization
principal component analysis
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 files. They are assigned to 22 classes corresponding to different 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.
Źródło:: Journal of Telecommunications and Information Technology; 2014, 2; 59-69
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

Artykuł

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