圖片來源: MusicLM官網
MusicLM可以以一段文字或是文字與圖像的組合去生成一段音樂，只需描述的仔細一點就能生成更貼合使用者內心想法的音樂。
應用面：
MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modeling task, and it generates music at 24 kHz that remains consistent over several minutes.
After being unveiled in January, MusicLM is now available for the public to test out through Google's AI Test Kitchen.
Google's AI research project MusicLM has impressed listeners in the past few weeks, since it debuted its ability to turn simple text prompts into music that can sometimes be almost indistinguishable from works created by humans.
When Google previewed MusicLM in an academic paper in January, it said that it had “no immediate plans” to release it. The coauthors of the paper noted the many ethical challenges posed by a system like MusicLM, including a tendency to incorporate copyrighted material from training data into the generated songs.
Before tech enthusiasts could move on from OpenAI’s ChatGPT, MusicLM became a topic of discussion among AI and music enthusiasts on Twitter.
In this review, we’re going to take a closer look at Google’s AI-powered, cloud-based music generator which uses machine learning to create audio clips. We’ll discuss how MusicLM works, its pros and cons, and how it could change the way we make music.
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