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sign language synthesis    
相关语句
  手语合成
    Multi-Model Behavior Synchronizing Prosody Model in Sign Language Synthesis
    手语合成中的多模式行为协同韵律模型
短句来源
    Experimental results show that the proposed method dramatically improves the recognition rate of the Chinese sign language synthesis system about 30%.
    实验表明,提出的方法使得中国手语合成系统的可懂度提高30%以上.
短句来源
    Furthermore a text driven Chinese Sign Language synthesis system is implemented by driving the model with parameters.
    进而用参数驱动模型,采用图形学方法在计算机上实现了一个由文本驱动的汉语手语合成系统。
短句来源
    Sign Language synthesis is valuable to multimedia data expression and intelligent human computer interface.
    对多媒体数据表达和智能人机接口,手语合成都非常有意义。
短句来源
  手语合成
    Multi-Model Behavior Synchronizing Prosody Model in Sign Language Synthesis
    手语合成中的多模式行为协同韵律模型
短句来源
    Experimental results show that the proposed method dramatically improves the recognition rate of the Chinese sign language synthesis system about 30%.
    实验表明,提出的方法使得中国手语合成系统的可懂度提高30%以上.
短句来源
    Furthermore a text driven Chinese Sign Language synthesis system is implemented by driving the model with parameters.
    进而用参数驱动模型,采用图形学方法在计算机上实现了一个由文本驱动的汉语手语合成系统。
短句来源
    Sign Language synthesis is valuable to multimedia data expression and intelligent human computer interface.
    对多媒体数据表达和智能人机接口,手语合成都非常有意义。
短句来源
  手语合成
    Multi-Model Behavior Synchronizing Prosody Model in Sign Language Synthesis
    手语合成中的多模式行为协同韵律模型
短句来源
    Experimental results show that the proposed method dramatically improves the recognition rate of the Chinese sign language synthesis system about 30%.
    实验表明,提出的方法使得中国手语合成系统的可懂度提高30%以上.
短句来源
    Furthermore a text driven Chinese Sign Language synthesis system is implemented by driving the model with parameters.
    进而用参数驱动模型,采用图形学方法在计算机上实现了一个由文本驱动的汉语手语合成系统。
短句来源
    Sign Language synthesis is valuable to multimedia data expression and intelligent human computer interface.
    对多媒体数据表达和智能人机接口,手语合成都非常有意义。
短句来源
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  sign language synthesis
The utility of the conducted research is illustrated in the context of sign language synthesis by a preliminary consideration of plurality and placement within a grammar for British Sign Language (BSL).
      


As intelligent human computer interface is being studied,and research on signl anguage synthesis has been paid more and more attention to.But current researches are almost all on graphics about American Sign Language and Japanese Sign Language.In this paper we analyze and compare the features of syntax and semantics of Chinese and the Chinese Sign Language.The Chinese Sign Language model is presented.According to features of syntax and semantics of Chinese...

As intelligent human computer interface is being studied,and research on signl anguage synthesis has been paid more and more attention to.But current researches are almost all on graphics about American Sign Language and Japanese Sign Language.In this paper we analyze and compare the features of syntax and semantics of Chinese and the Chinese Sign Language.The Chinese Sign Language model is presented.According to features of syntax and semantics of Chinese and the Chinese Sign Language a translation from Chinese to the Chinese Sign Language is implemented by adopting the method of translating to intermediate language based on rules.Furthermore a text driven Chinese Sign Language synthesis system is implemented by driving the model with parameters.Sign Language synthesis is valuable to multimedia data expression and intelligent human computer interface.

随着智能人机接口研究的兴起,手语合成的研究在国际上越来越受到重视。但是现有的研究几乎都是关于美国手语和日本手语的侧重于计算机图形学方面的研究。本文从语言学角度分析并比较汉语和汉语手语各自的语法和语义特点,提出了汉语手语模型。并针对汉语和汉语手语各自的语法和语义特征采用基于规则变换到中间语言的方法实现了由汉语至汉语手语的转换。进而用参数驱动模型,采用图形学方法在计算机上实现了一个由文本驱动的汉语手语合成系统。对多媒体数据表达和智能人机接口,手语合成都非常有意义。

Sign language is a language used not only by deaf mutes but also by sound people and its basic grammar information is conveyed by space position and change of hands and arms. This paper presents the design and realization of a sign language synthesis system as an output merging subsystem of a multi function perception machine which inputs text information and outputs synthesized sign language and a hand gesture model and a sign language model as well, discusses ways and means...

Sign language is a language used not only by deaf mutes but also by sound people and its basic grammar information is conveyed by space position and change of hands and arms. This paper presents the design and realization of a sign language synthesis system as an output merging subsystem of a multi function perception machine which inputs text information and outputs synthesized sign language and a hand gesture model and a sign language model as well, discusses ways and means to put the motion of hands and arms and control the key state method upon which the gesture database is based and Gesture Description Language(GDL) developed to define and describe gesture and introdues a computer graphics method synthesizing sign language based upon these models.

SignLanguageSynthesisinMulti┐functionPerceptionMachineXULinGAOWen(徐琳)(高文)(Dept.ofComputerScienceandEngineering,HarbinInstitut...

Sign language is the language used by the deaf, which is a comparatively steadier expressive system composed of signs corresponding to postures and motions assisted by facial expression. It is communication using motion/vision. The objective of sign language recognition research is to “see” the language of the deaf. The integration of sign language recognition and sign language synthesis jointly comprise a “human computer sign language interpreter”, which facilitates the interaction between...

Sign language is the language used by the deaf, which is a comparatively steadier expressive system composed of signs corresponding to postures and motions assisted by facial expression. It is communication using motion/vision. The objective of sign language recognition research is to “see” the language of the deaf. The integration of sign language recognition and sign language synthesis jointly comprise a “human computer sign language interpreter”, which facilitates the interaction between the deaf and their surroundings. The issue of sign language recognition is to recognize dynamic gesture signal, that is, to recognize sign language signal. Considering real time property and recognition performance of the system, Cyberglove is selected as the gesture input device in the system under discussion and DGMM(dynamic Gaussian mixture model) is used as a recognition technique, which models sign language signal by a time varying density function composed of M N Gaussian mixture density function. The system can recognize 274 sign language words coming from the dictionary of Chinese sign language with the accuracy of 98.2%. Compared with the recognition system based on HMM, the recognition rate of DGMM is nearly equal to that of HMM, and the training and recognition speed of DGMM is apparently much faster than that of HMM.

手语是聋人使用的语言 ,是由手形动作辅之以表情姿势由符号构成的比较稳定的表达系统 ,是一种靠动作 /视觉交际的语言 .手语识别的研究目标是让机器“看懂”聋人的语言 .手语识别和手语合成相结合 ,构成一个“人-机手语翻译系统”,便于聋人与周围环境的交流 .手语识别问题是动态手势信号即手语信号的识别问题 .考虑系统的实时性及识别效率 ,系统选取 Cyberglove型号数据手套作为手语输入设备 ,并采用了 DGMM(dynamic Gaussianm ixture m odel)作为系统的识别技术 ,即利用一个随时间变化的具有 M个分量的混合 Gaussian N-元混合密度来模型化手语信号 ,可识别中国手语字典中的 2 74个词条 ,识别率为 98.2 % .与基于 HMM的识别系统比较 ,这种模型的识别精度与 HMM模型的识别精度相当 ,其训练和识别速度比 HMM的训练与识别速度有明显的改善 .

 
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