Welcome to the UPF Digital Repository

Detecting solo phrases in music using spectral and pitch-related descriptors

Show simple item record

dc.contributor.author Fuhrmann, Ferdinand
dc.contributor.author Herrera Boyer, Perfecto, 1964-
dc.contributor.author Serra, Xavier
dc.date.accessioned 2018-05-14T09:58:44Z
dc.date.available 2018-05-14T09:58:44Z
dc.date.issued 2009
dc.identifier.citation Fuhrmann F, Herrera P, Serra X. Detecting solo phrases in music using spectral and pitch-related descriptors. J New Music Res. 2009;38(4):343-56. DOI: 10.1080/09298210903406632
dc.identifier.issn 0929-8215
dc.identifier.uri http://hdl.handle.net/10230/34624
dc.description.abstract In this paper we present an algorithm for segmenting musical audio data. Our aim is to identify solo instrument phrases in polyphonic music. We extract relevant features from the audio to be input into our algorithm. A large corpus of audio descriptors was tested for its ability to discriminate between solo and non-solo sections, which resulted in a subset of five best features. We derived a two-stage algorithm that first creates a set of boundary candidates from local changes of these features and then classifies fixed-length segments according to the desired target classes. The output of the two stages is combined to derive the final segmentation and segment labels. Our system was trained and tested with excerpts from classical pieces and evaluated using full-length recordings, all taken from commercially available audio. We evaluated our algorithm by using precision and recall measurements for the boundary estimation and introduced new evaluation metrics from image processing for the final segmentation. Along with a resulting accuracy of 77%, we demonstrate that the selected features are discriminative for this specific task and achieve reasonable results for the segmentation problem.
dc.description.sponsorship This research has been partially funded by the EU-IP project PHAROS.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Taylor & Francis (Routledge)
dc.relation.ispartof Journal of New Music Research. 2009;38(4):343-56
dc.rights © Taylor & Francis. This is an electronic version of an article published in Fuhrmann F, Herrera P, Serra X. Detecting solo phrases in music using spectral and pitch-related descriptors. J New Music Res. 2009;38(4):343-56. Journal of New Music Research is available online at: https://www.tandfonline.com/doi/abs/10.1080/09298210903406632.
dc.subject.other So -- Informàtica
dc.title Detecting solo phrases in music using spectral and pitch-related descriptors
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1080/09298210903406632
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics

Compliant to Partaking