Identifying violin performers by their expressive trends-Reference-Cited by-同舟云学术

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Identifying violin performers by their expressive trends

Published:2010-09-10 Issue:5 Volume:14 Page:555-571
ISSN:1571-4128
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Molina-Solana Miguel¹,Lluís Arcos Josep²,Gomez Emilia³

Affiliation:

1. Department of Computer Science and Artificial Intelligence, Universidad de Granada, Granada, Spain

2. Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC), Bellaterra, Spain

3. Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Violinist Identification Using Note-Level Timbre Feature Distributions;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

2. Computational Models of Expressive Music Performance: A Comprehensive and Critical Review;Frontiers in Digital Humanities;2018-10-24

3. A Software Tool for Categorizing Violin Student Renditions by Comparison;Advances in Artificial Intelligence;2018

4. Representation model and learning algorithm for uncertain and imprecise multivariate behaviors, based on correlated trends;Applied Soft Computing;2015-11

5. Correlated Trends: A New Representation for Imperfect and Large Dataseries;Flexible Query Answering Systems;2013

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