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Meta·Dec 22, 2025·v1.0·open source

Perception Encoder Audiovisual (PE-AV)

Meta's Perception Encoder Audiovisual (PE-AV) is a state-of-the-art multimodal model that embeds audio, video, audio-video, and text into a joint embedding space. Trained using contrastive learning on approximately 100 million audio-video pairs with text captions, PE-AV enables powerful cross-modal retrieval and understanding across audio, video, and text modalities. ([marktechpost.com](https://www.marktechpost.com/2025/12/22/meta-ai-open-sourced-perception-encoder-audiovisual-pe-av-the-audiovisual-encoder-powering-sam-audio-and-large-scale-multimodal-retrieval/?utm_source=openai))

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overview

Meta's Perception Encoder Audiovisual (PE-AV) is a state-of-the-art multimodal model that embeds audio, video, audio-video, and text into a joint embedding space. Trained using contrastive learning on approximately 100 million audio-video pairs with text captions, PE-AV enables powerful cross-modal retrieval and understanding across audio, video, and text modalities. ([marktechpost.com](https://www.marktechpost.com/2025/12/22/meta-ai-open-sourced-perception-encoder-audiovisual-pe-av-the-audiovisual-encoder-powering-sam-audio-and-large-scale-multimodal-retrieval/?utm_source=openai))

key features
  • 01Embeds audio, video, and text into a unified embedding space
  • 02Trained on 100 million audio-video pairs with text captions
  • 03Enables cross-modal retrieval and understanding
  • 04Achieves state-of-the-art performance on multiple benchmarks
  • 05Supports tasks like video retrieval from text and audio retrieval from video
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