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Updated: Jun 15, 2025

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使用热带珊瑚,鸟类和与之无关的声音来实现海洋生物声学中的高级转移学习

Ben Williams1,2,3, Bart van Merriënboer4, Vincent Dumoulin5

  • 1University College London, London, UK.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
|June 12, 2025
PubMed
概括

在各种音频数据集上预训练机器学习模型,包括鸟类和无关声音,显著改善了热带珊瑚礁的声学监测. 这种跨领域的方法降低了成本,提高了生态评估的准确性.

关键词:
生物声学是一种生物声学.珊瑚礁是一种珊瑚礁.深度学习是一种深度学习.机器学习是机器学习.海洋海洋的海洋海洋的海洋通过被动的声学监测.声音景观的声音景观.

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相关概念视频

Echo01:06

Echo

The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
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