In 2024, Music AI may reach a tipping point, building on the exciting developments of 2023, such as text-to-music generation and prompt-based music search. Anticipated advancements in 2024 include flexible source separation, general-purpose music embeddings, and a focus on bridging the gap between technology and practical application in real-world scenarios. This progress promises to revolutionize how we interact with music through AI.
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3 Music AI Breakthroughs to Expect in 2024
1. Flexible and Natural Source Separation
Source separation is the task of splitting a fully produced piece of music into its original instrument sources. Expect breakthroughs in 2024 due to its importance in music AI and ongoing improvements in speed and flexibility. New developments, like prompt-based systems, are making it more user-friendly and adaptable to different needs. All this promises a wider use in the industry, which could motivate research breakthroughs in the field.
2. General-Purpose Music Embeddings
Embeddings are a promising technology, making retrieval tasks more accurate and enabling machine learning when data is scarce. Unfortunately, a breakthrough domain-specific embedding model for music is yet to be released. My hope and suspicion is that open-source initiatives or even big players committed to open-source releases (like Meta) will solve this problem in 2024. We are already close and once we reach a certain level of embedding quality, every company will be adopting embedding-based music tech to create much more value in a much shorter time.
3. Bridging the Gap Between Technology and Practical Application
2023 set the stage for what’s next. The real game-changer for 2024? It is not just about the tech — it is about making it work for real people, in real scenarios. Expect to see Music AI stepping out of the lab and into our lives, influencing everything from how we create to how we consume music.
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