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[HTML][HTML] A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
Currently available reviews in the area of artificial intelligence-based music generation do
not provide a wide range of publications and are usually centered around comparing very …
not provide a wide range of publications and are usually centered around comparing very …
Grey wolf optimizer based deep learning mechanism for music composition with data analysis
Q Zhu, A Shankar, C Maple - Applied soft computing, 2024 - Elsevier
Music composition using artificial intelligence has gained increasing research attention
recently. However, existing methods often generate music that needs more coherence and …
recently. However, existing methods often generate music that needs more coherence and …
Visualization and music harmony: Design, implementation, and evaluation
Music expertise is the ability to understand the structural elements of music compositions by
reading musical scores or simply listening to music performance. Although the most …
reading musical scores or simply listening to music performance. Although the most …
A Kind of B io-inspired L earning of m U sic styl E
R De Prisco, D Malandrino, G Zaccagnino… - … on evolutionary and …, 2017 - Springer
In the field of Computer Music, computational intelligence approaches are very relevant for
music information retrieval applications. A challenging task in this area is the automatic …
music information retrieval applications. A challenging task in this area is the automatic …
[PDF][PDF] Mahlernet: Unbounded orchestral music with neural networks
E Lousseief, B Sturm - the Nordic Sound and Music Computing …, 2019 - diva-portal.org
This paper presents MahlerNet, a deep recurrent neural network that models polyphonic
music sequences of arbitrary length with an arbitrary number of instruments. The data …
music sequences of arbitrary length with an arbitrary number of instruments. The data …
Learning the harmonic analysis: is visualization an effective approach?
Understanding the structure of music compositions requires an ability built over time,
through the study of the music theory and the application of countless hours of practice. In …
through the study of the music theory and the application of countless hours of practice. In …
Creative DNA computing: splicing systems for music composition
R De Prisco, R Zaccagnino - Soft Computing, 2022 - Springer
Splicing systems are a form of DNA computing as they mimic the recombination process
among DNA molecules. This work discusses the use of splicing systems to build automatic …
among DNA molecules. This work discusses the use of splicing systems to build automatic …
A computational intelligence text-based detection system of music plagiarism
R De Prisco, D Malandrino… - … on Systems and …, 2017 - ieeexplore.ieee.org
A debated controversies in recent years is the Plagiarism, specially in fields able to generate
huge amount of money, such as the Music. However, the existing mechanisms to detect …
huge amount of money, such as the Music. However, the existing mechanisms to detect …
Modified TOPSIS Method for Neutrosophic Cubic Number Multi-Attribute Decision-Making and Applications to Music Composition Effectiveness Evaluation of Film and …
L Yang, J Zhao - … Journal of Advanced Computer Science & …, 2024 - search.ebscohost.com
Contemporary music composition for film and television has exhibited a trend towards
diversification, which is reflected in various aspects such as the diversity of musical styles …
diversification, which is reflected in various aspects such as the diversity of musical styles …
[HTML][HTML] Theory of tailor automata
In the paper, a fragment of the new theory of tailor automata is presented, within which a
deterministic finite automaton was defined. The proposed automaton provides a theoretical …
deterministic finite automaton was defined. The proposed automaton provides a theoretical …