Classification of origin with feature selection and network construction for folk tunes-Reference-Cited by-同舟云学术

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Classification of origin with feature selection and network construction for folk tunes

Published:2020-05 Issue: Volume:133 Page:356-364
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Metzig Cornelia^ORCID,Gould Matthew,Noronha Roshan^ORCID,Abbey Roshani,Sandler Mark,Colijn Caroline

Funder

EPSRC

European Institute of Innovation and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference49 articles.

1. Join my party! how can we enhance social interactions in music streaming;Allik,2019

2. A scale-free distribution of false positives for a large class of audio similarity measures;Aucouturier;Pattern Recognit.,2008

3. The New Penguin Book of English Folk Songs;Bishop,2012

4. Calculating similarity of folk song variants with melody-based features.;Bohak,2009

5. Random forests;Breiman;Mach. Learn.,2001

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2. From Sound to Map: Predicting Geographic Origin in Traditional Music Works;Lecture Notes in Computer Science;2024

3. Study on the Current Development and Dissemination of Jidong Folk Song from the Perspective of Intangible Cultural Heritage Based on VAR Modeling;Applied Mathematics and Nonlinear Sciences;2024-01-01

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