全球鸟声嵌入使生物声学分类的高级转移学习成为可能
Burooj Ghani1, Tom Denton2, Stefan Kahl3,4
1Naturalis Biodiversity Center, Leiden, The Netherlands. burooj.ghani@naturalis.nl.
Scientific reports
|December 22, 2023
概括
利用来自鸟类声音分类器的特征嵌入,可以为各种生物声学任务实现短时间的转移学习. 这种方法有效地识别了具有有限数据的新物种和呼叫类型,有助于保护工作.
科学领域:
- 生物声学是一种生物声学.
- 机器学习 机器学习
- 保护生物学 保护生物学
背景情况:
- 自动化生物声学分析对于监测生物多样性和息地至关重要.
- 深度学习模型已经改进了信号分类,但需要大量的标记数据.
- 许多物种,特别是罕见的物种,缺乏足够的数据来进行强大的模型训练.
研究的目的:
- 调查从音频分类模型中使用特征嵌入来识别新的生物声学类.
- 为了评估这些嵌入在各种类型中的有效性,包括鸟类,蝙蝠,海洋哺乳动物和两动物.
- 探索生物声学中少数射击转移学习的潜力.
主要方法:
- 从预先训练的音频分类模型中提取的特征嵌入.
- 在各种生物声学数据集 (鸟类呼叫,蝙蝠呼叫,海洋哺乳动物呼叫,两动物呼叫) 上评估了嵌入.
- 使用有限的训练数据评估分类表现 (少量学习).
主要成果:
- 来自鸟类发声模型的嵌入产生的分类质量高于一般音频嵌入.
- 证明了成功识别了超出原始训练数据的生物声学类.
- 通过高质量的功能嵌入,即便是使用最小的数据,也可以实现短暂的学习.
结论:
- 来自大型鸟类声音分类器的高质量特征嵌入对于生物声学中的少数拍摄转移学习非常有价值.
- 这种方法提供了一种高效的方式,以有限的样本分析新的生物声学数据.
- 这些发现支持改善生物多样性监测和数据稀缺物种的保护.
相关概念视频
01:30Classification of Signals
468
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
468
02:07Conservation of Declining Populations
9.6K
Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
9.6K
02:07Improving Translational Accuracy
2.6K
2.6K
01:29Aggregates Classification
327
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
327
01:22Force Classification
1.2K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.2K
01:21Perceiving Loudness, Pitch, and Location
216
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
216