@inproceedings{73680bf9a86c44f399628bde9ecec7f7,
title = "The classification of music by the genre using the KNN classifier",
abstract = "The article presents the possibility of classifying music tracks according to their musical genre. This issue is interesting because it is difficult to find solutions that look for similarity between songs based on their waveforms, as in this work. This article shows that such a classification is possible. For this process, the KNN classifier was used, for which it is possible to apply different metrics (metric spaces). The article shows the validity of testing different distance measures in the classification process. The analysis of music tracks and assignment to the appropriate genre is carried out, on the basis of attributes describing the music track. These attributes are obtained using the jAudio library. The development of further research in this area may allow finding other suitable music not only on the basis of historical data about the user (what he was listening to along with the music track) but also directly on the basis of the genre of the given song.",
keywords = "Accuracy, Classification, KNN, Kappa, Metric, Music genre, Music track, Song, jAudio",
author = "Daniel Kostrzewa and Robert Brzeski and Maciej Kubanski",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 14th International Conference on Beyond Databases, Architectures and Structures, BDAS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018 ; Conference date: 18-09-2018 Through 20-09-2018",
year = "2018",
doi = "10.1007/978-3-319-99987-6\_18",
language = "English",
isbn = "9783319999869",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "233--242",
editor = "Stanislaw Kozielski and Dariusz Mrozek and Pawel Kasprowski and Bozena Malysiak-Mrozek and Daniel Kostrzewa",
booktitle = "Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings",
address = "Germany",
}