用动物叫声定位地理坐标，突破传统方法局限
Bioacoustic Geolocation: Species Sounds as Geographic Signals
- 结合物种分布预测与检索式定位的混合方法
- 在跨国家尺度上实现较高精度的音频地理定位
- 适合生态监测、生物多样性研究者参考
能否仅凭听到的声音确定位置？本研究探索全球尺度的音频地理定位，聚焦野生动物与自然声音。我们提出：由于物种具有明确的地理分布范围，生物声学信号中蕴含可利用的地理线索。为此，我们对比图像地理定位与景观声学映射方法，设计了基准模型与以物种为中心的基线，并提出一种融合物种分布预测与检索式地理定位的混合方法。进一步探究了多物种录音及邻近样本时空聚合对定位性能的影响。最后，通过电影中音视频联合案例，拓展至多模态地理定位。结果表明，生物声学信号可有效支持空间任务，推动未来在物种识别与音频地理定位方面的研究。
原文摘要 · Abstract (English)
Can we determine someone's geographic location solely from the sounds they hear? Are acoustic signals enough to localize within a country, state, or even city? In this work, we tackle the challenge of global-scale audio geolocation, with a particular focus on wildlife and natural sounds. We posit that bioacoustic signals contain informative geolocation cues because of well-defined geographic ranges of species. To test this hypothesis, we benchmark image geolocation and soundscape mapping methods, design oracles and species-centric baselines, and propose a hybrid approach that combines species range prediction with retrieval-based geolocation. We further ask whether geolocation improves with species-diverse recordings and spatiotemporal aggregation across neighboring samples. Finally, we extend our study to multimodal geolocation with case studies from movies that combine both audio and visual content. Our results highlight the potential of incorporating bioacoustic signals into geospatial tasks, motivating future work on species recognition and audio geolocation.
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