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AI Use Cases

A collection of over 250 uses for artificial intelligence

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AI generated music

Introduction

Music industry has greatly changed with the help of artificial intelligence and specifically generative AI or Gen AI. In the entertainment sector especially, people have started applying Gen AI to create music, and many famous organizations and artists have benefited from it. It has created a new paradigm in music production, and as a result, it has produced a variety of music that would not have been composed otherwise. It has had a huge effect in the entertainment industry, especially in providing a number of opportunities for artists, producers, and listeners. This deep analysis of the application of Gen AI in the generation of AI music will give a better understanding on the issues, answers, gains and practical applications of this new technology.

Challenges

There are however some challenges that are still present in the use of Gen AI in music. The first one is that of creating music that not only sounds right but also feels right. It is very hard to capture the essence of music which includes melody, harmony, rhythm and timbre that creates an emotional effect through an algorithm. Third, there is the issue of copyright and authorship; it is difficult to establish who owns the rights to a particular work in case of AI generated music. In addition, the music business has always been slow in adapting to changes and the integration of AI technologies may not be easy. Finally, there is the issue of public perception. People still have reservations when it comes to music generated by artificial intelligence, they see it as a threat to creative individuals.

AI Solutions

To overcome these challenges, different AI solutions have been suggested and applied. OpenAI, for instance, has created complex models such as MuseNet and Jukin that generate original music in different styles and types of music, which makes the music created using AI more realistic. As for copyright problems, the use of blockchain as a tool for registration and tracking of AI-generated music is being tested. BitterSound and other companies have also began to use AI to estimate the potential of music to become popular and thus minimize the expenses and risks of creating new music. For the purpose of increasing the public acceptance it is crucial to educate people about the application of AI in music and present examples of successful AI music.

Benefits

There are a lot of benefits that one can get from using Gen AI in music production. To an artist and a producer, AI can be a great resource for creativity, creating new concepts and rhythms which would not be created otherwise. To a consumer, AI music can provide a vast amount of music variety tailored to their taste. For the whole industry, AI presents a way to enhance efficiency and decrease expenses as AI can create music faster and at a lower cost when compared to human composers. In addition, AI can assist in making music creation more accessible and available to anyone who has a connection to the internet.

Return on Investment

From the perspective of a business, the ROI for Gen AI in music creation can be quite impressive. In music production companies, AI can cut down the time and the money that is needed to create music leading to increased profits. In the case of artists, AI can assist the artists in creating more music and get to a larger number of people thus improving their earnings potential. In addition, AI music can be applied in various contexts including videos, games, ads, and other digital content which opens up new sources of revenue for the music industry.

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