助手标题
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
共[7]条 当前为第1条到7条
 

相关语句
未完全匹配句对
    A method is described which understands the results of speech recognition and generates the response to be used by the synthesiser using context-free grammer (CFG), context-senstive gramar (CSG) and blackboard.
    语言理解和应答文生成采用上下文无关文法(CFG),结合黑板以及局部上下文相关(CSG),对连续汉语语音识别输出的结果进行理解,生成人机对话系统中的应答文,作为语音合成的输入。
    Combination of Multiple Predictors for Correct-Incorrect Classification of Output Words in Real Time Continuous Speech Recognition
    多预测子融合实时连续语音识别输出词正误判别
    First the 3-D scattering model of the targets is built based on the theory of radar target scattering center in the optics region and measure data,then by comparing the profiles of actual target with the profiles of model target,the two most resemble profiles are regarded as the target recognition result.
    该算法首先从光学区雷达目标的多散射中心理论出发,在大量实测(暗室或外场测量)数据的基础上,建立待识别目标的三维电磁散射模型。 目标识别时,用目标的实测距离像与数据库中所有目标的三维散射模型在任意姿态角上的投影形成的距离像进行匹配,取相关性最强的目标类型作为识别输出结果。
    Signal with amplitude om 50 μV_(pp) to 5mV_(pp) can be amplifield and the output is big enough for A/D converter. When the signal is 50μV_(pp), the S/N ratio is better than3. In order to be capable of working in serious environments, all of the circuits are powered with two 1.5 volt cells. At maximum output, the power current is 10 mA.
    利用变载波控制与自动增益控制时间常数有机配合,基本上消除慢波动基底信号的影响,能检测出附着在大本底上的非电转换来的信号波包,在50μv_(pp)到5mv_(pp)输入范围内都可给出A/D转换器可识别的输出幅值:50μv_(pp)输入时仍保持有不小于3的信噪比.
    The computer simulation result indicates that compared with the correlation output of the traditional phase-only matched filter, their signal-to-noise ratio (SNR) for recognizing output and the signal correlation peak are improved obviously. Thereby it may provide a favorable foundation for the optical implementation in the future.
    计算机模拟结果表明,和传统的纯相位匹配滤波器的相关输出结果相比,其识别输出的信噪比和信号相关峰值得到了明显的提高,从而为今后的光学实现奠定了良好的基础。
    According to this algorithm,the output from CHMM is taken as the feature vector for recognition and the pre-recognition vector is extracted from the recognition vector space by the ANN,afterwards,the pre-recognition result is further processed to accomplish the final recognition.
    该方法以CHMM的输出作为系统的识别矢量,利用人工神经网络的模式分类和自学习功能,从识别矢量空间中提取语音预识别矢量,再由识别矢量对预识别结果进行识别输出
    The results show that the present method is feasible and it has advantages of few requirements of historical data, automatic increase of identification category, and the noiseproof ability.
    实验证明这种方法使网络抗噪声能力增强,使损伤识别的效果更好。 ART2网络具有自动从环境中学习的能力,能自动的给出新的识别输出
 

首页上一页1下一页尾页 

 
CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社