As neural networks become more powerful, algorithms have become capable of turning ordinary text into images, animations and even short videos. These algorithms have generated significant controversy. An AI-generated image recently won first prize in an annual art competition while the Getty Images stock photo library is currently taking legal action against the developers of an AI art algorithm that it believes was unlawfully trained using Getty’s images.
So the music equivalent of these systems shouldn’t come as much surprise. And yet the implications are extraordinary.
A group of researchers at Google have unveiled an AI system capable of turning ordinary text descriptions into rich, varied and relevant music. The company has showcased these capabilities using descriptions of famous artworks to generate music.
No it can’t make music like Bassbin Twin because the music wasn’t programmed into the datasets from Google’s “Human experts” that limit what it can produce:
Read the fine print.
“We introduce MusicLM, a model generating high-fidelity music from text descriptions such as “a calming violin melody backed by a distorted guitar riff”. 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.
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To be fair, it seems JP Morgan was only able to check the emails after they acquired the platform since they were concerned about breaching data privacy prior to becoming its new legal caretakers.
Then again, it might be because “old companies” are having difficulty identifying new scams.
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In 2021 JP Morgan acquired a student aid website called withfrank.org for $175 million. Now the bank is accusing Frank of being a massive fraud. So what is going on?
Our lifespans might feel like a long time by human standards, but to the Earth it’s the blink of an eye. Even the entirety of human history represents a tiny slither of the vast chronology for our planet. We often think about geological time when looking back into the past, but today we look ahead. What might happen on our planet in the next billion years?
Written and presented by Prof David Kipping, edited by Jorge Casas.
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Google Research introduces MusicLM, a model that can generate high-fidelity music from text descriptions. See how MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modeling task, and how it outperforms previous systems in audio quality and text description adherence. Learn more about MusicCaps, a dataset composed of 5.5k music-text pairs, and see how MusicLM can be conditioned on both text and a melody. Check out this video to see the power of MusicLM: Generating Music From Text! #GoogleResearch #MusicLM #MusicGeneration.
An impressive new AI system from Google can generate music in any genre given a text description. But the company, fearing the risks, has no immediate plans to release it.
Called MusicLM, Google’s certainly isn’t the first generative AI system for song. There have been other attempts, including Riffusion, an AI that composes music by visualizing it, as well as Dance Diffusion, Google’s own AudioML and OpenAI’s Jukebox. But owing to technical limitations and limited training data, none have been able to produce songs particularly complex in composition or high-fidelity.
