Auditory learners learn best by hearing.
听觉型学习者通过“听”学得最好。
Auditory learners learn best by hearing.
听觉型学习者通过听学得最好。
The auditory knew him for the performance.
观众由这场表演而认识了他。
He lost the function of his auditory nerve.
他的听觉神经丧失了功能。
This track may need an alternative auditory track.
此跟踪可能需要一个可选的听觉跟踪。
The feedback can take visual and/or auditory form.
这种回馈可以采取视觉和（或）听觉的形式。
A primitive unit of auditory speech in a given language.
一特定语言的语音基本单位。
Gameplayers showed a similar speed advantage on an auditory task.
在听觉任务中，游戏玩家同样表现出类似的速度优势。
The alarm is able to visually alarm and also auditory alarm.
报警器既能视觉报警，又能听觉报警。
Game players showed a similar speed advantage on an auditory task.
在听觉任务中，游戏玩家同样表现出类似的速度优势。
Each voice drew a particular response from the auditory cortex.
每一个声音都会引起听觉皮层特定的反应。
For example, I have almost no ability to filter auditory information.
比如，我几乎没有筛选听觉信息的能力。
All of the three experiments include visual vs. auditory in-put mode.
三项实验都有视觉、听觉两种呈现方式。
Sound source localization is one of main functions of auditory system.
声源定位是听觉系统的主要功能之一。
Looking to the left is an indication of an auditory memory. (your right).
眼睛注视左方(你的右方)——这表明对方正在回忆一个听过的声音。
All of this information is recorded in the brain's auditory memory center.
所有这些信息都记录在大脑的听觉记忆中心。
Objective to know influence of noise on auditory system of flight personnel.
目的了解噪声对飞行人员听觉系统的影响。
Such auditory overreacting, the scientists say, could be a survival mechanism.
科学家们说，这种听觉上的过度反应可能是一种生存机制。
As feel light, except you experience light translated through auditory sensation.
如同“感光术”，但你能够透过听觉感受光。
Above mentioned method could be applied to computational auditory scene analysis.
本文提出的方法可应用于计算声场景分析中。
The difference of the word frequency in visual and auditory experience was discussed.
讨论了词语使用过程中视觉使用频率和听觉使用频率的区分。
An information hiding model is introduced which can becloud human auditory in transmission of tone.
提出了一种在话音传递中，蒙蔽人类听觉的信息隐藏模型。
The most two popular algorithms are Computational Auditory Scene Analysis (CASA) and Blind Source Separation.
目前常用的语音分离方法主要有听觉场景分析法和盲信号分离法。
The most two popular algorithms are Computational Auditory Scene Analysis (CASA) and Blind Source Separation.
目前常用的语音分离方法主要有听觉场景分析法和盲信号分离法。
应用推荐