Artificial Intelligence (AI) music generation is a rising topic that is beginning to revolutionize the music industry. While the idea of AI-generated music might sound far-fetched, it is becoming increasingly evident that intelligent computer systems can now create original music, and, in some cases, even surpass human capability in doing so. In this article, we will take a closer look at Meta’s Music Gen and other AI music generators and explore how these tools are being used in the music industry today.

Meta’s Music Gen

Meta, a social media company, has an AI division that releases new products regularly, which includes Music Gen, a language model capable of producing high-quality audio without requiring multiple models. Music Gen differentiates itself from other AI music generators, as it has a unique feature that allows the generated music to be conditioned on a different melody, similar to how Runway uses an image or video for texture, making it easier to create music pieces that are better suited to specific projects.

A comparison was also conducted between Music Gen and Google’s Music LM, which demonstrated that Music Gen outperformed Google’s product in both objective and subjective metrics on a standard text-to-music benchmark.

Music Gen, which has been trained on a dataset of over 20,000 hours of music, including an internal dataset of around 10,000 high-quality music tracks, as well as Shutterstock and 0.5 music data, claims to create original, royalty-free background music that can be used without attribution. Although MusicGen excels in certain categories, such as relaxing jazz music, it may not perform well in other categories. For example, creating upbeat arcade music can be problematic, and the generated tracks may not sound satisfactory. Nonetheless, people can use the open-source MusicGen source code as a starting point to refine the program and improve its accuracy.

Other AI Music Generators

Other than MusicGen, SoundRaw, Boomi, and Soundfall are other websites and companies working on AI music generators, all of which have the ability to generate background music with AI-generated tracks. Although AI-generated music may not be a complete and functioning product yet, the future of AI in the music industry is exciting. With open-source projects like MusicGen, talented individuals can modify the models and make them much better.

Practical Applications of AI Music Generation

AI music generators like MusicGen have a wide range of practical applications in many industries, including video production and game development. They allow these industries to create original music on a tight budget, which would be practically impossible if done manually. In addition, these tools save time and offer the ability to create multiple versions of a single track quickly. MusicGen, and other AI music generators, offer free demos of their products, which can be used for creating background music for lobbies, video games, and small projects.

Conclusion

The future of AI music generation is exciting, and it will be fascinating to see the advancements and refinements made to AI music generators in the near future. With continued research and development, AI-generated music will become increasingly better suited to various genres and use cases. As the music industry continues to incorporate more innovative technology, it is safe to say that AI-generated music will act as a catalyst for greater efficiency, creativity, and accessibility.