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Writer's pictureEshal Zahur

China’s AI-Generated Music Revolution

This piece was originally published in the September 2024 issue of Pandora Curated.



The music streaming market is undergoing a metamorphosis of change in China through the use of artificial intelligence (AI). Kunlun Tech Co. Ltd. has unveiled one of the first fully AI-driven music experiences in the world, Melodio. This new platform enables users to stream songs generated and created exclusively by artificial intelligence, making it one of the first in its domain. This development is influential in propelling the world of music forward. 


Melodio aims to allow users to tailor the experience of streaming, making it more personal. It enables users to type in a prompt that describes their mood, inclinations, or a scenario, letting the AI create a customised music list within seconds. The algorithms in Melodio can analyse hundreds of thousands of permutations of information regarding structure, type, and previous listening or preference history. 


The music platform uses natural language processing (NLP) techniques. The app is powered by the AI model SkyMusic 2.0, which incorporates large language models (LLMs) for processing user inputs such as moods and scenarios. Additionally, Melodio integrates innovative machine-learning techniques like audio analysis and music generation, helping users create music using reference tracks and other audio input. It then uses this information to create an original song or track to suit a person's specific reading. 


Listeners can also change the prompts or parameters of each "song" in real time. The saving and sharing of musical moments and favoured songs is an additional feature of the platform. The creation of Melodio represents a critical nexus point in the convergence of technology and music.


AI platforms like this have immense potential to revolutionise the music space. New genres, styles, and songs can be created that were unthinkable before. It even enables users to modify lyrics and switch between music styles. For the sake of comparison, apps like Beatoven.ai, also AI-driven, focus on assisting users in composing instrumental music, whereas Melodio offers a broader interactive experience with customizable lyrics. 


The platform can also create and infinitely scale up to generate millions of songs; all artistically produced by AI. This results in an experience that can be personalised. Every user’s listening experience can fit one’s mood and preference with AI technology. 


Consequently, however, as AI-developed music gains momentum, musicians and composers face existential challenges in competition against an unlimited supply of AI-generated music. Conversely, an emerging opportunity also emerges for new revenue streams for artists and producers, with the harnessing of AI into the music-making process.


Furthermore, artists can also partner with AI to create a sound that is a mix of human and AI-created compositions, resulting in new sounds with yet unexplored harmonics. This would be a starkly competitive advantage in the marketplace.


In addition to its usual streaming offerings, Kunlun has also given music creators an online tool for making songs. Creators can suggest ideas for lyrics, pick the genre they like, and create the final song by providing cues for tweaking different portions of the sonic makeup of the music. Interestingly, using Melodio's marketplace, music creators can also sell their AI-assisted songs to monetise future projects. 


This has, however, raised questions about appropriation, given the possibility of using copyrighted material as a source. Other similar AI apps have also drawn harsh criticism pertaining to the issue of copyright ownership. Furthermore, with so many independent artists putting out their original music on an already overcrowded, overstimulated platform, why produce more AI-generated music in an already cluttered world of music creation? The answer remains elusive. 


These streaming services excel in defining tracks based on their key features and finding matches for listeners who may not fit into conventional consumer-oriented categories. However, what is interesting is how little emphasis is put on the diverse talent pool we have at our disposal as opposed to tech gurus producing algorithm-generated music. As the matter is further debated and cases for copyright infringement are filed in court, it is pertinent to realise AI is here to stay, whether the industry likes it or not. 



 

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