New system generates synchronized soundtracks from raw pixels and text prompts
Technology learns to associate specific audio events with visual scenes
Users can define positive or negative prompts to guide output
Uses diffusion-based approach for audio generation
Google's DeepMind research team has made significant strides in the field of video-to-audio (V2A) technology, creating a system that can generate synchronized soundtracks for videos using raw pixels and text prompts. The new technology, which is still undergoing rigorous safety assessments and testing before public release, has the potential to revolutionize the way we create and consume multimedia content.
DeepMind's V2A system uses a diffusion-based approach for audio generation to achieve the most realistic results in synchronizing video and audio information. Users can define positive or negative prompts to guide generated output towards desired or undesired sounds, allowing for creative opportunities and restoration of old media such as silent films.
The technology learns to associate specific audio events with various visual scenes and responds to information provided in annotations or transcripts. It addresses limitations such as artifacts in video input, lip synchronization for videos involving speech, and safety assessments before public access.
Google's DeepMind is not the only organization exploring V2A technology. Companies like ElevenLabs and OpenAI have also released AI tools that can generate sound effects or music based on text prompts. However, DeepMind's research stands out due to its ability to understand raw pixels and the optional use of text prompts.
The potential applications for this technology are vast, from enhancing existing video content with synchronized soundtracks to creating entirely new multimedia experiences. The future of AI-generated movies is on the horizon, and DeepMind's V2A system is leading the charge.
Research creates technology for generating synchronized audiovisual content using video pixels and text prompts.
V2A technology combines video pixels with natural language text prompts to generate rich soundscapes.
Diffusion-based approach used for audio generation gives most realistic results in synchronizing video and audio information.
Users can define positive or negative prompts to guide generated output towards desired or undesired sounds.
, V2A technology learns to associate specific audio events with various visual scenes and responds to information provided in annotations or transcripts.
, Research addresses limitations such as artifacts in video input, lip synchronization for videos involving speech, and safety assessments before public access.
Google DeepMind’s artificial intelligence laboratory is developing a new technology called video-to-audio (V2A) that can generate soundtracks and dialogue for videos.
The V2A technology can understand raw pixels and combine them with text prompts to create sound effects for onscreen actions.
DeepMind’s V2A technology can also generate soundtracks for traditional footage like silent films and videos without sound.
Accuracy
No Contradictions at Time
Of
Publication
Deception
(100%)
None Found At Time Of
Publication
Fallacies
(90%)
The article contains some inflammatory rhetoric and appeals to authority. It also uses a dichotomous depiction by presenting DeepMind's technology as unique despite the existence of similar tools from other entities.
. . . the system can understand raw pixels and combine that information with text prompts to create sound effects for what's happening onscreen.
DeepMind's researchers trained the technology on videos, audios and AI-generated annotations that contain detailed descriptions of sounds and dialogue transcripts.
You can enter positive prompts to steer the output towards creating sounds you want, for instance, or negative prompts to steer it away from the sounds you don't want.
/cdn.vox-cdn.com/uploads/chorus_asset/file/25330654/STK414_AI_CHATBOT_E.jpg)