{"id":25580,"date":"2024-12-24T09:36:05","date_gmt":"2024-12-24T01:36:05","guid":{"rendered":"https:\/\/www.1ai.net\/?p=25580"},"modified":"2024-12-24T09:36:05","modified_gmt":"2024-12-24T01:36:05","slug":"mmaudio%ef%bc%9a%e4%b8%80%e9%94%aeai%e8%a7%86%e9%a2%91%e9%85%8d%e9%9f%b3%ef%bc%8c%e5%b0%86%e6%97%a0%e5%a3%b0%e8%a7%86%e9%a2%91%e8%bd%ac%e4%b8%ba%e6%9c%89%e5%a3%b0%e7%94%b5%e5%bd%b1","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/25580.html","title":{"rendered":"MMAudio: one-click AI video dubbing to turn silent videos into movies with sound"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-25581\" title=\"c813016dj00soz5rd0063d000v900lop\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/12\/c813016dj00soz5rd0063d000v900lop.jpg\" alt=\"c813016dj00soz5rd0063d000v900lop\" width=\"1125\" height=\"780\" \/><\/p>\n<p><a href=\"https:\/\/www.1ai.net\/en\/tag\/mmaudio\" title=\"_Other Organiser\" target=\"_blank\" >MMAudio<\/a> is an AI audio synthesis technology based on multimodal co-training, based on multimodal co-training, which allows models to be trained on a wide range of audiovisual and audio-text datasets. The core of the technology is a synchronization module that ensures that the generated audio precisely matches the video frames to achieve a high degree of synchronization.MMAudio is suitable for a variety of application scenarios, including film and TV production and game development, to generate corresponding audio based on the video content or textual descriptions to enhance the user experience.<\/p>\n<h2><span id=\"lwptoc2\"><strong>MMAudio Features<\/strong><\/span><\/h2>\n<ol>\n<li>Video to Audio Synthesis: Automatically generate audio that highly matches the video content.<\/li>\n<li>Text-to-audio synthesis: generates corresponding audio based on text descriptions, applicable to text-only scenarios.<\/li>\n<li>Joint multimodal training: training on audio-visual, audio and textual datasets to enhance the processing of different modal data.<\/li>\n<li>Synchronization module: ensures precise alignment of audio with video frames or text descriptions.<\/li>\n<\/ol>\n<p>The official website of the project:<a href=\"https:\/\/hkchengrex.com\/MMAudio\/\">https:\/\/hkchengrex.com\/MMAudio\/<\/a><\/p>\n<p>Experience Demo online:<a href=\"https:\/\/huggingface.co\/spaces\/hkchengrex\/MMAudio\">https:\/\/huggingface.co\/spaces\/hkchengrex\/MMAudio<\/a><\/p>\n<p>GitHub repository:<a href=\"https:\/\/github.com\/hkchengrex\/MMAudio\">https:\/\/github.com\/hkchengrex\/MMAudio<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>MMAudio is an AI audio synthesis technology based on multimodal co-training, which allows models to be trained on a wide range of audiovisual and audio-text datasets. At the heart of the technology is a synchronization module that ensures that the generated audio precisely matches the video frames to achieve a high degree of synchronization.MMAudio is suitable for a wide range of application scenarios including film and TV production and game development, generating audio based on video content or text descriptions to enhance the user experience. MMAudio Features Video to Audio Synthesis: Automatically generates highly synchronized audio that matches the video content. Text-to-audio synthesis: Generate corresponding audio based on text descriptions, suitable for text-only scenarios. Multi-modal joint training: Train on audio-visual, audio and text datasets to enhance the processing capability of different modal data.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[138,147],"tags":[2481,3013,589,5294],"collection":[],"class_list":{"0":"post-25580","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"hentry","6":"category-product","7":"category-yinpin","8":"tag-ai","11":"tag-mmaudio"},"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/25580","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=25580"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/25580\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=25580"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=25580"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=25580"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=25580"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}