在没有监督的情况下发现了在蒙古鹿中特定家庭的声乐使用情况
Ralph E Peterson1,2, Aman Choudhri3, Catalin Mitelut1
1Center for Neural Science, New York University, New York, NY.
bioRxiv : the preprint server for biology
|September 16, 2024
概括
蒙古子在他们的家庭中表现出独特的声乐方言,这表明他们有一个复杂的沟通系统来识别亲属关系. 这项研究揭示了比以前知道的更丰富的声乐谱,使用先进的机器学习进行分析.
科学领域:
- 伦理学 伦理学 伦理学
- 生物声学是一种生物声学.
- 机器学习 机器学习
背景情况:
- 动物的发声传达了诸如亲属关系和等级等重要的社会信息.
- 传统的实验室研究往往缺乏生态相关性,使用简短的相互作用和有限的环境.
- 需要长期的自然研究来理解复杂的声音行为.
研究的目的:
- 在一段时间内,在一个家族结构内调查蒙古大鼠的声乐行为.
- 分析 gerbil 发音的复杂性和特定家庭的使用.
- 为了探索声音方言的潜力和鼠的亲属信号.
主要方法:
- 连续20天的音响录音来自三个蒙古羊家族在一个扩大的环境中.
- 使用一个变化自编码器 (VAE) 来量化超过583,000个发音.
- 应用高斯混合模型 (GMM) 集群到VAE潜伏空间进行曲目分析.
主要成果:
- 确定了比以前记录的更复杂的 gerbil 声乐谱.
- 家庭之间声乐谱使用的显著差异.
- 在数周内表现出稳定的,特定于家庭的声音集群和过渡的偏好.
结论:
- 格尔比尔的声乐使用表明存在特定家庭方言,可能是亲属信号.
- 蒙古鹿可以作为一个有价值的模型来研究语音通信的神经基础.
- 无监督的机器学习与连续记录提供了对自然主义动物行为的强大洞察力.
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