@inbook{0f4fd4642a56461f91dfc8e9a61f7c28,
title = "Adaptive temporal modeling of audio features in the context of music structure segmentation",
abstract = "This paper describes amethod for automatically adapting the length of the temporal modeling applied to audio features in the context of music structure segmentation. By detecting regions of homogeneous acoustical content and abrupt changes in the audio feature sequence, we show that we can consequently adapt temporal modeling to capture both fast- and slow- varying structural information in the audio signal. Evaluation of the method shows that temporal modeling is consistently adapted to different musical contexts, allowing for robust music structure segmentation while gaining independence regarding parameter tuning.",
keywords = "Adaptivity, Audio features temporal modeling, Music structure segmentation",
author = "Florian Kaiser and Geoffroy Peeters",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-12093-5\_15",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "248--261",
editor = "Andreas N{\"u}rnberger and Sebastian Stober and Birger Larsen and Marcin Detyniecki",
booktitle = "Adaptive Multimedia Retrieval",
}