English(EN) Supervising Sound Localization by In-the-wild Egomotion

新方法利用相机运动来监督声音定位模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

研究人员开发了一种新颖的方法，通过利用自我运动作为监督信号来训练声音定位的音频模型。该方法利用视频中相机视角的改变来推断声源方向，然后用于训练音频模型。该系统将这种基于视觉自我运动的监督与传统的双耳线索相结合，展示了从真实世界数据中成功学习以及在声音定位任务上的强大性能。 AI

影响这项研究可能为需要精确声音定位的应用带来更强大、数据效率更高的音频模型。

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arXiv cs.AI TIER_1 English(EN) · Anna Min, Ziyang Chen, Hang Zhao, Andrew Owens · 2026-10-02 04:00

通过野外自我运动监督声音定位

arXiv:2610.01388v1 Announce Type: cross Abstract: We present a method for learning binaural sound localization using egomotion as a supervisory signal. Over the course of a video, the cameras direction to a sound source will change as the camera moves. We train an audio model to …