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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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Energy Losses in Transformers01:21

Energy Losses in Transformers

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In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
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Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
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In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
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相关实验视频

Updated: Jul 24, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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具有适应性交叉损的多任务变压器,用于多方言语音识别.

Zhengjia Dan1, Yue Zhao1, Xiaojun Bi1

  • 1School of Information Engineering, Minzu University of China, Beijing 100081, China.

Entropy (Basel, Switzerland)
|July 8, 2023
PubMed
概括

这项研究介绍了一种新的多方言语音识别模型,使用软参数共享和变压器. 它自动平衡任务,大大提高了藏语和中文方言的准确性.

关键词:
适应性交叉损失的适应性交叉损失多方言语音识别系统 语音识别系统多任务变压器 多任务变压器

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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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科学领域:

  • 语音识别 语言识别
  • 机器学习 机器学习
  • 自然语言处理自然语言处理.

背景情况:

  • 当前的多方言语音识别模型经常使用硬参数共享,掩盖任务贡献.
  • 平衡多任务学习通常需要手动,昂贵的重量调整.

研究的目的:

  • 开发一个改进的多方言声学模型.
  • 为了实现语音识别和方言识别任务之间的有效知识转移.
  • 为了自动化平衡多任务学习目标.

主要方法:

  • 提出了一个多方言声学模型,将软参数共享多任务学习与变压器架构相结合.
  • 引入了方言ID识别的辅助交叉注意力,以告知语音识别.
  • 采用了自适应交叉损失功能,用于自动多任务重量平衡.

主要成果:

  • 显著降低了西藏多方言语音识别的音节错误率.
  • 显著降低了汉语多方言语音识别字符错误率.
  • 性能优于单方言,单任务多方言和硬参数共享多任务变压器.

结论:

  • 拟议的软参数共享方法有效地整合了方言信息.
  • 适应性损失功能自动化多任务平衡,减少手工工作.
  • 该模型在低资源和多方言场景中表现出卓越的性能.