2023 Saw Major Advances in AI-Generated Music, But More Work Needed in 2024
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2023 brought major AI breakthroughs in music, including text-to-music generation, melody-conditioned generation, music search engines, audio chatbots, and more.
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However, music AI still lags behind NLP and computer vision in maturity and adoption. More funding, time, and brainpower is needed.
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Expect progress in source separation quality, speed, and flexibility in 2024, making it usable for more applications.
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High-quality general-purpose music embeddings could enable similarity search, text search, and efficient ML, but the right model is yet to be publicly released.
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Bridging the gap between music AI research and practical products/services should be a priority in 2024 to truly realize the potential impact across the industry.