Google’s new AI turns textual content into music

Google researchers have made an AI that may generate minutes-long musical items from textual content prompts, and might even rework a whistled or hummed melody into different devices, just like how methods like DALL-E generate pictures from written prompts (by way of The mannequin is known as MusicLM, and whilst you can’t mess around with it for your self, the corporate has uploaded a bunch of samples that it produced utilizing the mannequin.

The examples are spectacular. There are 30-second snippets of what sound like precise songs created from paragraph-long descriptions that prescribe a style, vibe, and even particular devices, in addition to five-minute-long items generated from one or two phrases like “melodic techno.” Maybe my favourite is a demo of “story mode,” the place the mannequin is mainly given a script to morph between prompts. For instance, this immediate:

digital music performed in a videogame (0:00-0:15)

meditation music performed subsequent to a river (0:15-0:30)

hearth (0:30-0:45)

fireworks (0:45-0:60)

Resulted in the audio you’ll be able to hearken to right here.

It might not be for everybody, however I might completely see this being composed by a human (I additionally listened to it on loop dozens of occasions whereas writing this text). Additionally featured on the demo web site are examples of what the mannequin produces when requested to generate 10-second clips of devices just like the cello or maracas (the later instance is one the place the system does a comparatively poor job), eight-second clips of a sure style, music that will match a jail escape, and even what a newbie piano participant would sound like versus a sophisticated one. It additionally contains interpretations of phrases like “futuristic membership” and “accordion demise metallic.”

MusicLM may even simulate human vocals, and whereas it appears to get the tone and total sound of voices proper, there’s a high quality to them that’s positively off. One of the simplest ways I can describe it’s that they sound grainy or staticky. That high quality isn’t as clear within the instance above, however I feel this one illustrates it fairly properly.

That, by the way in which, is the results of asking it to make music that will play at a gymnasium. You may additionally have seen that the lyrics are nonsense, however in a manner that you could be not essentially catch if you happen to’re not paying consideration — form of like if you happen to had been listening to somebody singing in Simlish or that one music that’s meant to sound like English however isn’t.

I received’t faux to know how Google achieved these outcomes, but it surely’s launched a analysis paper explaining it intimately if you happen to’re the kind of one that would perceive this determine:

Figure showing part of MusicLM’s process, which involves SoundStream, w2v-BERT, and MuLan.
A determine explaining the “hierarchical sequence- to-sequence modeling process” that the researchers use together with AudioLM, one other Google mission.
Chart: Google

AI-generated music has a protracted historical past courting again many years; there are methods which were credited with composing pop songs, copying Bach higher than a human might within the 90s, and accompanying dwell performances. One latest model makes use of AI picture technology engine StableDiffusion to flip textual content prompts into spectrograms which might be then became music. The paper says that MusicLM can outperform different methods when it comes to its “high quality and adherence to the caption,” in addition to the truth that it could possibly soak up audio and replica the melody.

That final half is maybe one of many coolest demos the researchers put out. The positioning helps you to play the enter audio, the place somebody hums or whistles a tune, then helps you to hear how the mannequin reproduces it as an digital synth lead, string quartet, guitar solo, and so forth. From the examples I listened to, it manages the duty very properly.

Like with different forays into this sort of AI, Google is being considerably extra cautious with MusicLM than a few of its friends could also be with comparable tech. “Now we have no plans to launch fashions at this level,” concludes the paper, citing dangers of “potential misappropriation of artistic content material” (learn: plagiarism) and potential cultural appropriation or misrepresentation.

It’s all the time attainable the tech might present up in considered one of Google’s enjoyable musical experiments in some unspecified time in the future, however for now, the one individuals who will have the ability to make use of the analysis are different individuals constructing musical AI methods. Google says it’s publicly releasing a dataset with round 5,500 music-text pairs, which might assist when coaching and evaluating different musical AIs.

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