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Being towards death

Heed not to the tree-rustling and leaf-lashing rain, Why not stroll along, whistle and sing under its rein. Lighter and better suited than horses are straw sandals and a bamboo staff, Who's afraid? A palm-leaf plaited cape provides enough to misty weather in life sustain. A thorny spring breeze sobers up the spirit, I feel a slight chill, The setting sun over the mountain offers greetings still. Looking back over the bleak passage survived, The return in time Shall not be affected by windswept rain or shine.
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From silence to shock! Video automatic dubbing open-source black technology MMAudio

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This post is translated from Chinese into English through AI.View Original
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MMAudio is a powerful model that automatically generates audio tailored to video content, ensuring high-quality sound that matches visual elements, actions, and environments. Initially launched in 2023 with modest results, it gained traction after its official release on December 8, 2024, on GitHub, especially with the integration of SORA's audio-free video technology. This deep learning model utilizes advanced neural networks to process visual information and create context-aware audio, offering features like precise time synchronization and rich environmental sound synthesis. It supports various video sources, enabling users to easily transform their creative ideas into polished short films.

MMAudio is a powerful model that automatically generates adaptive audio based on video, capable of perfectly creating rich and fitting audio according to the video content. This model focuses on generating high-quality audio that matches the visual elements, actions, and environment in the video while maintaining temporal consistency.

MMAudio made its debut in 2023, but due to its mediocre early generation effects, it did not create much of a stir. On December 8, 2024, MMAudio was officially released in the Github community. With the addition of SORA's no-audio video technology, ordinary people can now easily leverage the power of AI to achieve a leap from creativity to finished product, transforming into "short film masters." The model employs a deep learning architecture specifically designed for video-to-audio synthesis. Through advanced neural networks and temporal analysis, it processes visual information in the video to generate naturally adaptive audio. MMAudio supports high-quality audio synthesis, context-aware sound generation, precise time synchronization, rich environmental sound synthesis, accurate action and sound matching, and can handle multiple video sources.

https://huggingface.co/spaces/hkchengrex/MMAudio

https://huggingface.co/hkchengrex/MMAudio/tree/main

https://hkchengrex.com/MMAudio/video_main.html

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