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English(EN) SonicWorld: Source-Centric Latent Dynamics for Spatial Audio Reasoning

新的SonicWorld系统通过基准数据集推进空间音频推理

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出SonicWorld，一个新颖的动态空间音频推理系统，能够将声学观测与特定声源相关联，并随时间确定其空间状态。为了评估此能力，他们开发了Sonic-Bench，一个包含模拟室内场景的基准数据集，并附带用于定位、距离估计和运动推理任务的问答对。SonicWorld将声学、语义和物理特征整合到持久的声源状态中，将其投影到Omni LLM进行推理，并在基准测试和零样本迁移测试中展示了优于Spatial-Omni模型的准确性。 AI

排序理由 该集群描述了一个新的基准和空间音频推理系统，详见arXiv论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的SonicWorld系统通过基准数据集推进空间音频推理

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该集群描述了一个新的基准和空间音频推理系统，详见arXiv论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Chenlong Wei, Hanling Wang, Mingjin Lou, Yufan Shi, Yandong Sun, Sheldon Yu, Xiaohui Zhu, Xiaobo Jin, Yiwei Wang ·

    SonicWorld：面向源的潜在动态用于空间音频推理

    arXiv:2610.17131v2 Announce Type: cross Abstract: Dynamic spatial audio reasoning requires a model to associate changing acoustic observations with the correct source and recover its spatial state at a queried time or interval, a challenge intensified by overlapping speech and so…

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