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相关概念视频

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

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相关实验视频

Updated: Jun 26, 2026

Targeted Training of Ultrasonic Vocalizations in Aged and Parkinsonian Rats
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精制老年人的自动语音识别系统

Liu Chen1, Meysam Asgari1

  • 1Center for Spoken Language Understanding, Oregon Health & Science University, Portland, Oregon, USA.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
|June 23, 2023
PubMed
概括
此摘要是机器生成的。

为老年人开发自动语音识别 (ASR) 是一个挑战. 转移学习和注意力机制显著提高了老年人的ASR表现,即使数据有限.

关键词:
注意力机制注意力机制自动语音识别自动语音识别高龄人口中的老年人.小培训数据 小培训数据转移学习转移学习

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相关实验视频

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 语音技术 语言技术

背景情况:

  • 高质量的自动语音识别 (ASR) 系统很难用有限的数据构建,特别是对于老年人等特定人群.
  • 现有的开源ASR系统以成人语音进行训练,由于声学差异,对老年人的表现不佳.

研究的目的:

  • 使用有限的培训数据,为社会孤立的老年人 (80岁以上) 开发ASR系统,这些老年人可能有认知障碍.
  • 调查转移学习 (TL) 和注意力机制在改善这一人口群的ASR表现方面的有效性.

主要方法:

  • 利用了12个小时的训练数据来开发适合老年人的ASR系统.
  • 应用转移学习 (TL) 通过从预训练成年ASR模型中微调模型参数.
  • 整合了注意力机制,以利用中间模型信息提高性能.

主要成果:

  • 在成年人数据上训练的ASR系统在目标老年人群中表现不佳.
  • 转移学习 (TL) 对老年人的ASR系统性能显著提高.
  • 拟议的方法,将TL与注意力机制相结合,比标准TL模型实现了额外1.58%的绝对性能改善.

结论:

  • 转移学习在适应ASR系统用于高级演讲方面是有效的.
  • 注意力机制通过利用模型中间数据进一步提高ASR性能.
  • 开发的ASR系统有望改善老年人沟通的可访问性.