DeepMind’s new AI generates soundtracks and dialogue for videos
What specific types of sound can DeepMind's V2A technology generate for videos?
DeepMind's V2A technology can generate various types of sound for videos, including music, sound effects, and dialogue3. The AI model takes the description of a soundtrack (e.g., "jellyfish pulsating under water, marine life, ocean") paired with a video and creates corresponding sounds that match the characters and tone of the video. The generated sounds are watermarked by DeepMind's deepfakes-combatting SynthID technology.
How does DeepMind's V2A technology differ from other AI-powered sound-generating tools currently available in the market?
DeepMind's V2A (video-to-audio) technology stands out from other AI-powered sound-generating tools on the market due to its ability to understand raw video pixels and automatically synchronize generated sounds with the video, even without a description. While many current systems can only generate silent output, V2A technology can create music, sound effects, and dialogue that match the characters and tone of the video.
The AI model behind V2A is a diffusion model trained on a combination of sounds, dialogue transcripts, and video clips. By training on video, audio, and additional annotations, DeepMind's technology learns to associate specific audio events with various visual scenes while responding to the information provided in the annotations or transcripts.
Though AI-powered sound-generating tools aren't new, DeepMind claims that its V2A tech is unique in its ability to understand raw video pixels and sync generated sounds with the video automatically, with or without a description.
How does the V2A technology by DeepMind ensure the soundtracks match the content and tone of the videos?
The V2A technology developed by DeepMind ensures the soundtracks match the content and tone of the videos through an advanced AI model that has been trained on a combination of sounds, dialogue transcripts, and video clips4. By analyzing the raw pixels from a video, the model can associate specific audio events with various visual scenes and respond to the information provided in the annotations or transcripts. This process enables the AI to generate music, sound effects, and even dialogue that matches the characters and tone of the video. The AI model powering V2A is a diffusion model, which has been designed to learn the intricate patterns and structures from an extensive corpus of existing music, empowering it to produce new music that aligns seamlessly with the input.