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Don’t consider ChatGPT — Music AI could be the next big frontier for content creation. Recently Google Published Research on MusicLM, a system for creating music of any genre with text description. This is not the first AI music generator. as TechCrunch Notes, projects like Google’s AudioML and OpenAI’s Jukebox have tackled this issue. However, MusicLM’s sample and vast training database (280,000 hours of music) enables the creation of music with surprising variety and depth. You may like the publication.
Not only can AI combine genres and instruments, but it can also write tracks using abstract concepts that are typically difficult for computers to understand. If you want a hybrid of dance music and reggaeton with a “spacey, otherworldly” tune that evokes a “sense of wonder and awe,” MusicLM can make it happen. This technology can generate melodies based on humming, whistling or the description of a painting. A story mode can string together multiple interpretations to create a DJ set or soundtrack.
Like many AI generators MusicLM has its problems. Some of the songs sound strange and the vocals are unintelligible. Even if performances are better than you expect, they can be repetitive in ways that human creations do not. Don’t expect an EDM-style drop or verse-chorus-verse pattern of a typical song.
Don’t plan on using the technology anytime soon. like Other Google AI generators, the researchers did not release MusicLM to the public for copyright reasons. Approximately one percent of the music produced during the release was copied directly from practice songs. 2021, though licensing questions for AI music remain unresolved White paper Eric Sunray (now working at the Music Publishers Association) suggested that there are enough “coherent” traces of the original sounds that AI would infringe musical reproduction rights. Like musicians who rely on samples, you may need to get permission to publish AI-generated songs.
AI already has a place in music. Artists want Holly Herndon And Arca Algorithms have been used to create albums and museum recordings. However, they are either cooperative (like Herndon) or deliberately unpredictable (like Arca). MusicLM may not be ready for prime time, but it points to a future where AI can play a bigger role in the studio.
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