AI 如何推動生物聲學發展以拯救瀕危物種:Google DeepMind 推出 Perch 模型
Original: How AI is helping advance the science of bioacoustics to save endangered species
As accelerating climate change and habitat destruction intensify the urgency of protecting endangered species, traditional ecological…
Google DeepMind 發表全新生物聲學模型「Perch」,旨在協助保育人士快速分析野外錄音。該模型能自動識別夏威夷蜜旋木雀等瀕危鳥類及珊瑚礁生態系統的聲音,大幅縮短人工監聽時間。這項技術讓科學家能在大範圍內進行長期的生態監測,為全球生物多樣性保護提供關鍵支持。
As accelerating climate change and habitat destruction intensify the urgency of protecting endangered species, traditional ecological monitoring methods — such as manual field surveys — are not only time-consuming and labor-intensive, but also fail to cover vast or inaccessible areas. In recent years, "bioacoustics" has become an important tool for ecologists: by installing automated recording equipment in the wild, scientists can collect tens of thousands of hours of sounds from the natural world. However, sifting through this enormous volume of audio data to identify the calls of target species has become a new bottleneck.
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