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Google DeepMinds' new AI tool uses video pixels and text prompts to generate soundtracks

Google DeepMinds' new AI tool uses video pixels and text prompts to generate soundtracks


Google DeepMind has announced a new AI tool for generating soundtracks for videos. DeepMind's tool not only generates audio using text prompts, but also takes into account the content of the video.

Combining the two, DeepMind says that users can use the tool to create dramatic music, realistic sound effects, or scenes with dialogue that match the characters and tone of a video. You can see some examples posted on DeepMind's website, and they look pretty good.

In one video of a car driving through a cyberpunk cityscape, Google generated audio using the prompts “car skidding,” “car engine throttling,” and “angelic electronic music.” Notice how the sounds of the skidding match the car's movement. In another example, the prompts “jellyfish pulsating underwater,” “sea life,” and “ocean” were used to create an underwater soundscape.

Users can include a text prompt, but DeepMind says that's optional, and users aren't required to meticulously align the generated audio to the appropriate scene. DeepMind says the tool can generate an unlimited number of soundtracks for a video, allowing users to generate an infinite number of audio options.

This could help it stand out from other AI tools like ElevenLabs' sound effects generator, which uses text prompts to generate audio, and it also makes it easier to combine audio with AI-generated video from tools like DeepMinds Veo and Sora (the latter of which plans to eventually incorporate audio).

DeepMind says it trained its AI tool with video, audio, and annotations that include detailed descriptions of the speech and transcripts of the conversation, which allows the video-to-audio generator to match audio events with visual scenes.

The tool still has some limitations. For example, DeepMind is trying to improve its ability to synchronize lip movements with speech, as seen in a video of a clay-animated family. DeepMind also notes that its video-to-audio system relies on the quality of the video, so anything that's grainy or distorted can lead to a noticeable degradation in audio quality.




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