Paper Prompt and Guidelines

Artificial Intelligence Developments in Music

Artificial intelligence (AI) is becoming one of the most common adoptions in various
fields worldwide, including music. Recent AI developments have included using AI for music
generation, composition, and recognition. The research explores the developments and their
numerous benefits, including enhancing creativity, improving music education, and expanding
accessibility but they also come with challenges, such as security, quality control, and copyright
issues.
One of the main ways that AI is being used in music is for music generation. AI
algorithms can be trained on existing music to learn about musical structure and style and then
use that knowledge to generate new pieces of music. It can be done in real-time, allowing for the
creation of music on the fly (Sturm et al. 5). AI-generated music has the potential to be highly
creative, as it can draw on a wide range of influences and can be tailored to fit specific
requirements. However, it is evident that issues regarding quality have been reported when I
comes to AI-generated music and its overall capacity to create music that is indistinguishable
from human-generated music, which could lead to copyright issues.
Artificial intelligence (AI) is used in music composition to assist with creating music or
generating music entirely. AI algorithms can analyze a piece of music, suggest changes, or
generate new melodies based on specific criteria (Lopez-Rincon, Starostenko, and Ayala-San
Martin 4). It can be highly useful for musicians, as it allows them to experiment with different

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ideas and can save time on tasks such as finding the perfect chord progression. However, the AI
might replace human musicians and composers, which could have negative consequences for the
music industry. According to Bhaskar Mondal, "there is a fear that the use of AI in music
composition could lead to the replacement of human composers and musicians, which could
have negative economic impacts on the music industry" (389). It raises the question of whether
the benefits of AI in music composition outweigh the potential negative consequences. Further
research and considerations are needed to fully understand the implications of AI in this field.
Artificial intelligence (AI) is being increasingly utilized in music recognition, where it is
used to analyze and identify characteristics of a piece of music, such as genre, tempo, and key
(Kashino et al. 121). These AI-based music recognition systems have the potential to be highly
accurate and efficient, saving time and effort in tasks such as categorizing music. However, there
are also concerns about the accuracy of these systems, as they may only sometimes accurately
identify the characteristics of a piece of music. In addition, there are concerns about the potential
for these systems to be used to track and monitor individuals' music listening habits (Mondal
389).
One potential application of AI in music recognition is the creation of music
recommendation systems. These systems use algorithms to analyze a user's listening habits and
suggest similar music based on their preferences (Mondal 390). While these systems can be
convenient for users, there are also concerns about the potential for them to limit the exposure of
users to new and diverse types of music. Overall, the use of AI in music recognition has the
potential to greatly improve efficiency and accuracy in tasks such as music classification and
recommendation. However, it is important to consider these systems' potential consequences and
limitations, including accuracy and privacy concerns.

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There are numerous benefits to the use of AI in music. One of the main benefits is that it
can enhance creativity by providing new tools and inspiration for musicians. AI algorithms can
generate new ideas and can be used to explore different musical styles and structures, which can
lead to the creation of unique and innovative music. AI can also be used to improve music
education by providing new ways for students to learn about music and by offering personalized
feedback and guidance (Holzinger et al. 3). Additionally, AI has the potential to expand
accessibility by providing new ways for people to access and create music, such as through
music generation and composition algorithms.
However, there are also challenges to the use of AI in music. One of the main challenges
is security issues, as AI algorithms can be vulnerable to hacking and other forms of cyber-attack.
It could lead to the theft of mus


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