Probabilistic Segmentation of Folk Music Recordings
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-06
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The paper presents a novel method for automatic segmentation of folk music field recordings.
The method is based on a distance measure that uses dynamic time warping to cope with tempo variations and a dynamic programming approach to handle pitch drifting for finding similarities and estimating the length of repeating segment.
A probabilistic framework based on HMM is used to find segment boundaries, searching for optimal match between the expected segment length, between-segment similarities, and likely locations of segment beginnings.
Evaluation of several current state-of-the-art approaches for segmentation of commercial music is presented and their weaknesses when dealing with folk music are exposed, such as intolerance to pitch drift and variable tempo.
The proposed method is evaluated and its performance analyzed on a collection of 206 folk songs of different ensemble types: solo, two- and three-voiced, choir, instrumental, and instrumental with singing.
It outperforms current commercial music segmentation methods for noninstrumental music and is on a par with the best for instrumental recordings.
The method is also comparable to a more specialized method for segmentation of solo singing folk music recordings.
American Psychological Association (APA)
Bohak, Ciril& Marolt, Matija. 2016. Probabilistic Segmentation of Folk Music Recordings. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112679
Modern Language Association (MLA)
Bohak, Ciril& Marolt, Matija. Probabilistic Segmentation of Folk Music Recordings. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112679
American Medical Association (AMA)
Bohak, Ciril& Marolt, Matija. Probabilistic Segmentation of Folk Music Recordings. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112679
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112679