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Towards Effective Music Therapy for Mental Health Care Using Machine Learning Tools: Human Affective Reasoning and Music Genres Cover

Towards Effective Music Therapy for Mental Health Care Using Machine Learning Tools: Human Affective Reasoning and Music Genres

Journal of Artificial Intelligence and Soft Computing Research
Volume 11 (2021): Issue 1 (January 2021)
By: Jessica Sharmin Rahman,  Tom Gedeon,  Sabrina Caldwell,  Richard Jones and  Zi Jin  
Open Access
|Dec 2020

Authors

Jessica Sharmin Rahman

jessica.rahman@anu.edu.au

Research School of Computer Science, The Australian National University Canberra, Australia

Tom Gedeon

Research School of Computer Science, The Australian National University Canberra, Australia

Sabrina Caldwell

Research School of Computer Science, The Australian National University Canberra, Australia

Richard Jones

Research School of Computer Science, The Australian National University Canberra, Australia

Zi Jin

Research School of Computer Science, The Australian National University Canberra, Australia
DOI: https://doi.org/10.2478/jaiscr-2021-0001
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Language: English
Page range: 5 - 20
Submitted on: Dec 4, 2019
|
Accepted on: Sep 14, 2020
|
Published on: Dec 3, 2020
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
psychological signals,
music genres’ classification,
music therapy
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2020 Jessica Sharmin Rahman, Tom Gedeon, Sabrina Caldwell, Richard Jones, Zi Jin, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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