老师不该走动太频繁，因为这会增加读唇的难度。
The teacher should not move around too much as this makes lip reading more difficult.
如果你每周花上1-2个小时训练上一次的话，你就能够读唇语了，不信你可以下次去酒吧试哈。
If you do this one time each week for 1-2 hours you will be able to read lips extremely well, this skill requires minimal practice to learn!
在完全还没有语言基础的时候，她就试着读唇语，学习全新的语言，理解（他人的）行为特点。
She interprets the lip moments, learns entirely new language, and understands mannerisms at a stage of life where she still does not have any base language.
他们发现自动化系统明显优于读唇者们，较之后者32%的准确率，前者完成同样任务的准确率达到80%。
They found that the automated system significantly outperformed the human lip-readers –scoring a recognition rate of 80 per cent, compared with only 32 per cent for human viewers on the same task.
既没有给他们提供助听设备，也没教过他们唇读。
我用手语重复了詹宁斯女士说的话，以防我的父母没有读她的唇语。
In sign language, I repeated what Ms. Jennings had said in case my parents hadn't read her lips.
只进行了四小时的训练，唇读器有效地帮助他们改善了唇读技巧。
With just four hours of training it helped them improve their lip-reading skills markedly.
使得使用者不用唇读便能听到并且理解纷繁环境下的对话，甚至在许多环境下还可以欣赏音乐。
This allows users to hear and understand speech in noisy environments, without needing to lip-read, and even to hear and appreciate music in many cases.
利用新的视频训练系统，观唇者们只能得到有限的训练来显著提高他们的单音节单词唇读能力，这是一个非常困难的任务。
Using a new video-based training system, viewers with very limited training significantly improved their ability to lip-read monosyllabic words, which in itself is a very difficult task.
这项研究也许能给聋人或重听人带来唇读训练的新方法。
It is hoped this research might lead to novel methods of lip-reading training for the deaf and hard of hearing.
本文设计、实现了一个唇部自动跟踪及检测系统，其在多媒体信号处理、语料库建立及唇读等系统中有重要应用。
The paper designs an automatic lip tracking and detecting system, which is important in multimedia signal processing, bimodal database and lip-reading system.
人脸的识别和分析可以广泛应用在个人身份识别、安检、人机交互、表情分析、唇读等应用中。
Recognition and analysis of human faces can be widely used in such fields as personal identification recognition, safety inspection, human-computer interaction, expression analysis, lip-reading, etc.
除了手语之外，我们可以透过唇读口语，或者身体语言、手势、表情、书写文字或图画，与失听人士沟通。
Apart from sign language we can communicate with them by lip readings or other means such as body language gesture facial expression writing and drawing.
没有给他们提供助听设备，也没教过他们唇读。
我在唇读和说话能力方面的进步，并没有像我和老师以前期望的那么大。
My progress in lip reading and speech was not what my teachers and I had hoped and expected it would be.
实验还证明了系统中分块的唇区dct特征对的视觉单通道唇读系统是最有效的。
Experiments also prove that the features of blocks DCT coefficients in lip region are efficacious to visual single channel lipreading system.
本文针对基于视频的计算机唇读系统中唇部检测、唇读特征提取和唇语识别等关键技术进行了研究。
Some key technologic problems in computer lip-reading system, such as lip detection, feature extraction and lip-reading recognition were researched in this paper.
由于唇动序列和语言序列是一对多的映射，计算机自动唇读识别仅使用HMM是远远不够的。
Since lip movement sequence and language sequence are one-to-many mapping, it is far from sufficiency to use only HMM for lip-reading recognition.
记住：唇读是看、听和感觉的综合。
Remember that lip reading is a combination of seeing, listening and feeling.
论文对适合唇读研究的连续音节双模态语料库及其语料切分算法的设计和研究工作进行了讨论。
The topic of this paper is about the design of Bimodal Database for continuous Lip-Reading and the research on its material segmentation.
实验表明，本文提出的方法显著提高了非特定人的唇读识别率，能够快速准确地实现唇读识别。
Experiments conducted on the real lip image illustrate that the proposed method could extract lip features and do recognition fast and accurately, especially in speaker-independent.
本论文主要研究基于头戴式摄像机实现唇部图像获取、唇读特征提取和识别方法。
This paper focuses on the lip image capture, lip feature extraction and lip recognition with Head-Camera.
最后，我们建立了国内首个孤立命令词语音、唇读人机实时交互系统，包括软件和硬件设计两部分。
At last, We set up a real time speech and lipreading human-machine interaction platform for the first time in China. including software and hardware design.
它可以翻译成每一种文字，不但给人读，而且还吐纳在人类的唇上；
It may be translated into every language, and not only be read but actually breathed from all human lips;
在语音唇读双模态数据库上的实验证明，该算法优于同步早期融合法和同步双流HM M融合法。
At last, experiments on bimodal database showed that coupled HMM fusion strategy is more better than synchronism fusion strategy.
在语音唇读双模态数据库上的实验证明，该算法优于同步早期融合法和同步双流HM M融合法。
At last, experiments on bimodal database showed that coupled HMM fusion strategy is more better than synchronism fusion strategy.
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