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sign language相关的网络例句

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与 sign language 相关的网络例句 [注:此内容来源于网络,仅供参考]

In the midst of all of this, Rachel and her sister Emilie decided to team up to create a captivating, entertaining video to teach sign language to hearing children. Their plan was to make a short DVD that gave their friends and family a fun and easy way to learn a second language, but most importantly to sign with Leah.

在这种情况下,Rachel和Emilie决定创造一个吸引人有趣的碟片来教有听力的儿童学习手语,她们计划用短的DVD碟片给朋友和家庭们一个有趣的方式来学习第二种语言,对能和Leah用手语沟通相当重要。

Up to this time, the major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size In this paper, an approach to large vocabulary, continuous Chinese sign language recognition is presented, which uses subwords instead of whole signs as the basic units Since the number of subwords is limited, HMM based training and recognition of the CSL signal become more tractable and have the potential to recognize enlarged vocabularies Furthermore, the proposed method facilitates the CSL recognition when finger alphabet is blended with gestures About 2400 subwords are defined for CSL One HMM is built for each subword, and then the signs are encoded based on these subwords A decoder that uses tree structured network is presented Clustering of the Gaussians on the state, language model and N best is used to improve the performance of the system Experiments on a 5119 sign vocabulary are carried out, and the correct rate is over 90% for continuous sign recognition

迄今为止,手语识别面临的最大问题是如何解决词汇集易扩充的连续识别提出一种大词汇量连续中国手语识别方法,将词根作为识别基元,由于基元的数目是有限的,因此基于HMM的手语信号的训练和识别变得比较容易处理,可以实现更大词汇量的识别除此之外,所提方法还有利于实现手势语和手指语的混合识别从中国手语中共整理出2 4 0 0多个词根,为每个词根建一个并行的HMM模型,对各数据流的HMM模型进行聚类,确定出手语识别的基元根据这些基元对手势词编码,并建立了树状搜索网格,使用状态结点上高斯密度函数聚类、语言模型和N Best方法提高系统的速度和精度对 5 119个手语词做了实验,连续语句的识别率可在 90 %以上

This paper proposes the combination of sign language linguistics with human kinematics to generate and detect the data of SISL (signer independent sign language) according to the characteristics of gesture sign language.

根据手势手语的特点,提出了手语语言学和人体运动学相结合的非特定人手语数据的生成和检测方法。

In recent works on sign language recognition,Hidden Markov Models has played an important role.But the framework of HMMs makes an assumption that the observations in the same state are independent and identically distributed,which is not consistent with sign language signals sometimes.

在近些年的手语识别工作中,隐马尔可夫模型(Hidden Markov Models,简称HMMs)起到了重要的作用,但是,HMMs假设同一状态内的观察值之间是独立同分布的,这个假设同某些手语信号的帧间相关性相背离。

While sign language and lip reading are very important and often of invaluable help to many people suffering from hearing loss, they aren't always the solution because not everybody knows sign language and some hearing impaired people have not got the skills to lip read.

虽然手语和唇读是非常重要的,往往是宝贵的帮助许多人患有听力丧失,它们并非总是的解决办法,因为不是每个人都知道手语和一些听力受损的人没有得到的技能,以唇读。

During that period of time, Tim was always accompanied by his mother. On that day when wearing the cochlea implant, he was greatly excited and said to his mother with sign language," From now on, I will learn to speak, so you won't have to communicate with me with sign language and lip language any more."

那段时间,母亲一直陪伴在蒂姆身边,戴上耳蜗的这天,蒂姆表现得特别兴奋,他用手语告诉母亲:"从现在起,我要学习用口语说话,您也不必再用手语和唇语跟我交流了。"

WFD would like to thank very warmly all people and especially Deaf government, NGO and WFD delegates who have supported our work to include recognition of sign language, Deaf culture and linguistic and cultural identity, education in sign language, sign language interpreting and acceptance and facilitation the use of sign language into the draft Convention text.

世界聋人联合会要感谢所有的人非常热烈,尤其是聋人政府,非政府组织和世界聋人联合会代表谁支持我们的工作包括承认手语,聋人文化和语言和文化特征,教育,手语,手语翻译和接受和便利化使用手语纳入公约草案案文。

He used the sign language telling her, i've spent a year learning the sign language.

他用授予告诉她——我花了一年的时间去学习手语。

Sign language recognition is to provide an efficient and accurate mechanism to transcribe sign language into text or speech.

手语识别是通过计算机提供一种有效而准确的机制将手语翻译成文本或语音。

Considering the speed and performa nce of the recognition system, Cyberglove is selected as gesture input device in sign language recognition system, DGMM is used as recognition technique, and hierarchical recognizer is used in recognizing mo dule, which can recognize 274 sign language words coming from the dictionary of Chinese sign language with an accuracy of 97.4%, based on Chinese sign language' s own characteristic.

考虑到系统的实时性及识别效率,该系统选取Cyberglove型号数据手套作为手语输入设备,采用DGMM(dynamic Gaussian mixt ure model)作为系统的识别技术,并根据中国手语的具体特点,在识别模块中选取了多层识别器,可识别中国手语字典中的274个词条,识别率为97.4%。

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And unto the angel of the church in Sardis write; These things saith he that hath the seven irits of God, and the seven star I know thy works, that thou hast a name that thou livest, and art dead.

3:1 你要写信给撒狄教会的使者,说,那有神的七灵和七星的,说,我知道你的行为,按名你是活的,其实是死的。

"It is a testament to making sure unemployment compensation is available, making sure we are looking out for people who have lost their jobs," she said.

"这是个实证,证明我们必须确保人们都可以得到失业补偿,确保那些失去工作的人们得到照顾。"