• The researchers suspect that the shape of the human ear canal may be to blame for the pain.

    研究者猜测,人们之所以觉得痛苦,是由于人类耳道的形状造成的。

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  • Every little bump and notch in the human ear has a name but I have to say that tragus is the funniest.

    耳朵上的每一个小突起和凹槽都有各自的名称,但是我不得不说tragus是最有趣的。

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  • Much of that echolocation sound is beyond the range of the human ear. But to bats, it's as loud as a jet airplane.

    这些回声人类是听不到的,但对蝙蝠来说,却是真正的“如雷贯耳”。

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  • However, scientists at La Trobe University, Australia, have, by studying the way in which the ear transmits information to the brain, produced a device that behaves far more like a human ear.

    然而,澳大利亚LaTrobe大学的科学家通过研究耳朵将信息传入大脑的方式,已经制造出了一种更接近于人耳工作方式的装置。

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  • Young mice in danger can make ultrasonic sounds that the human ear cannot detect. The mother mouse can hear these sounds from a distance. Then she hurries back to protect her babies.

    处于危险情况下的小老鼠能发出人类听不到的超声波,母老鼠在远处也能听到这些声音,然后它就赶快跑回来保护自己的孩子。

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  • The following diagram shows the audible range of a normal human ear.

    以下图表显示正常人耳的听觉范围。

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  • Frequencies too high to affect the human ear are called ultrasonic frequencies.

    高得使人耳听不到的频率叫超音频率。

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  • A new method based on masking properties of human ear for speech enhancement is proposed.

    利用人耳的语音感知特性中的掩蔽效应,提出一种基于听觉掩蔽效应的语音增强方法。

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  • Therefore, a marked watershed algorithm was employed in this paper to select human ear image from the valid area.

    为此,本文将标记分水岭算法应用于人耳有效区域的分割。

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  • Objective To study the allograft antigenicity of human ear cartilage and the effect of the cell extraction on antigenicity.

    目的研究人耳软骨的移植抗原性及脱细胞处理对其的影响。

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  • Measured in decibels, noise intensity can range from zero, the quietest sound the human ear can detect, to over 160 decibels.

    按分贝计算,噪音强度可以从零(人耳所能感到的最低声音)到160分贝以上。

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  • The voice of the shapes was all melody , but so ethereal that no human ear could hear it, just as no human eye could see them;

    它们的声音是和谐的音乐,可是却显得虚无缥缈,人类的耳朵简直没有办法听见,就好象凡间的眼睛是不能看见它们一样。

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  • I don't think that superhuman hearing is likely, or even a good idea, because the normal human ear is already awesomely sensitive.

    我认为超人般的耳朵是不可能的,甚至是不好的主意,因为正常人的耳朵已经非常敏感。

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  • To show its power, the scientists printed a jaw bone, muscle, and cartilage structures, as well as a stunningly accurate human ear.

    为了展现这一技术的能力,科学家们打印了颌骨、肌肉、软骨组织和人耳进行实验。

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  • They can hear ultrasonic sounds from small animals like mice. And they can hear the high sound of whistling something the human ear can't hear.

    它们能听见老鼠之类的小动物发出的超声波,并且能听见高频的哨声,那是人类耳朵所听不见的。

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  • A new method which combined face profile, ear feature and relative position of ear and face profile to detect and recognize human ear is proposed in this paper.

    为实现人耳的自动检测与识别,提出了结合侧面轮廓特征、人耳统计特征以及人耳与侧面轮廓的位置特征进行人耳检测与识别的方法。

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  • As a novel biometric authentication technology, human ear recognition needs to solve the problems of image processing such as edge detection and feature extraction.

    人耳识别作为新的生物特征识别技术,首先要解决作为基础的边缘检测和特征提取等图像处理方面的问题。

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  • As a novel biometric identification technology, more and more attention was paid to the recognition of human ear because of its unique physiological characteristics.

    人耳识别作为生物识别一个新的研究方向,由于其独特的生理特征越来越受到更多人的关注。

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  • According to the feature of ear and its position on the side face a method based on edge-tracking was adopted for human ear localization and extraction from side face images.

    根据外耳及其所在位置的特征,提出了一种从侧脸图像上准确定位并提取出人耳的新方法。

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  • Therefore, the model of human ear and the hearing effect are introduced, and the influence of Hass effect, pinnae effect, reflection and reverberation to the hearing is analyzed too.

    因此,介绍了人耳听觉模型和听觉效应,分析了哈斯效应、耳廓效应、反射与混响等因素对听觉的影响。

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  • First of all, pretreatment of human ear pictures was completed. Then an improved 2dpca algorithm was used to compress feature dimension. Finally, BP neural network was used in ear classification.

    该方法首先对人耳图片进行预处理,然后采用改进的两级2dpca算法,进一步压缩提取的人耳特征维数,最后采用BP神经网络进行分类识别。

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  • First of all, pretreatment of human ear pictures was completed. Then an improved 2dpca algorithm was used to compress feature dimension. Finally, BP neural network was used in ear classification.

    该方法首先对人耳图片进行预处理,然后采用改进的两级2dpca算法,进一步压缩提取的人耳特征维数,最后采用BP神经网络进行分类识别。

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