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English(EN) AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation

AudioX-Turbo框架实现高效多模态音频生成

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出AudioX-Turbo，一个新颖的框架，旨在从文本、视频和音频信号等各种多模态输入高效生成音频。该系统采用师生蒸馏方法，将高保真教师模型AudioX-Base蒸馏成更快的学生模型AudioX-Turbo。此过程显著减少了生成所需的采样步数，使其比现有的多步基线效率高约25倍。为了支持该框架，还创建了一个名为IF-caps-Pro的大型数据集，包含约920万个样本。 AI

影响 该框架在多模态音频生成的效率方面实现了重大飞跃，有望在AI驱动的音频创作中实现更广泛的应用和更快的迭代。

排序理由 该集群描述了一篇详细介绍新颖音频生成框架和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AudioX-Turbo框架实现高效多模态音频生成

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该集群描述了一篇详细介绍新颖音频生成框架和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zeyue Tian, Lei Ke, Zhaoyang Liu, Ruibin Yuan, Liumeng Xue, Yujiu Yang, Weijia Chen, Xu Tan, Qifeng Chen, Wei Xue, Yike Guo ·

    AudioX-Turbo：一种高效的任意内容生成音频的统一框架

    arXiv:2606.12555v1 Announce Type: cross Abstract: Audio and music generation based on flexible multimodal control signals is a widely applicable topic, with the following key challenges: 1) a unified multimodal modeling framework, 2) large-scale, high-quality training data, and 3…

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