• Many techniques have been explored for endpoint detection.

    目前已经开发出许多终点检测技术

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  • The endpoint detection is important in speech recognition.

    端点检测语音识别重要的一环。

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  • A new endpoint detection method based on the exponential threshold (et) is proposed.

    提出了基于指数门限(et)的端点检测方法

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  • The accuracy of the speech endpoint detection is important to the recognition performance.

    语音端点检测准确性直接影响着语音识别系统性能

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  • An algorithm for speech endpoint detection based on time-frequency-variance-summation was proposed.

    提出了基于时频方差语音端点检测算法

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  • In addition, to gain a higher rate, a new logarithmic energy feature is adopted in endpoint detection.

    另外,在前端的端点检测采用一种新的对数能量特征作为判别依据,以进一步改善识别效果。

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  • This paper analyzes speech endpoint detection based on short-term energy feature in the presence of noise.

    研究噪声环境下,利用短时能量特征进行语音端点检测问题。

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  • Applying the signal processing method, the endpoint detection experiments of the Cu CMP process were carried out.

    应用信号处理方法进行CMP过程终点检测试验

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  • Objective To investigate the clinical value of endpoint detection of HBV-DNA by means of fluorescent quantitive PCR.

    目的运用终点荧光定量pcr检测HBV -DNA探讨临床应用价值

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  • The experiments in different noise backgrounds show that high endpoint detection accuracy can be obtained by this entropy.

    不同背景噪声下的实验结果表明可以得到正确率端点检测

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  • Therefore, how to improve endpoint detection system's robustness and increasing the stability of the system is ours direction.

    因此如何提高语音端点检测系统鲁棒性前提下,加强检测系统的稳定性当今语音端点检测的目标方向

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  • Dynamic photoelectricity endpoint detection which can effectively obviate the interference of environmental and electromagnetic.

    动态光电终点检测有效排除环境干扰电磁干扰。

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  • Endpoint detection is made to speech in different kinds of noise environments, evaluation and analysis are given to detection results.

    不同类型噪声环境下语音进行端点检测,并检测效果进行评价分析

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  • Speech endpoint detection is a paragraph beginning and end speech analysis, speech synthesis and speech recognition of a necessary link.

    语音起止端点检测语音分析、语音合成语音识别中的一个必要环节。

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  • On the basis, the characteristics called the ICA Energy (ICAE) and the Filtered ICAE (FICAE) are used for the noisy signal endpoint detection.

    基础上提出IC A能量(ICAE)滤波icae (FICAE)特征来进行端点检测。

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  • To enhance the accuracy and efficiency of endpoint detection, a detection method based on Circular Autocorrelation Function(CACF) is proposed.

    提高浊音端点检测准确率效率提出一种基于循环自相关函数的检测方法

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  • In the paper, a speech endpoint detection method based on DCT (Discrete Cosine Transform) enhancement and improved spectral entropy is proposed.

    提出了基于DCT(离散余弦变换)增强改进语音端点检测方法

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  • In this paper, the speech enhancement algorithm and the new endpoint detection algorithm are applied to CELP encoder, and EV-CELP model is presented.

    本文语音增强算法低信噪比下的端点检测算法应用CELP编解码器中,提出了EV - CELP编码模型

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  • The most obviously of all, it needs oneefficient endpoint detection system to monitor CMP operation to avoid polishing over or not polishing completely.

    若未能有效监测抛光运作,便无法避免硅片产生抛光过度不足的缺陷。

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  • The main speech signal endpoint detection methods, such as short time energy based scheme, HMM based scheme, related alike scheme and so on are investigated deeply.

    语音信号端点检测主要方法基于短时能量的方法、基于HMM的方法、基于自相关相似距离的方法进行了深入研究。

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  • The research results provide a theoretical foundation for the CMP endpoint detection method based on the change of the torque of the polishing head rotational spindle.

    研究可以基于抛光旋转轴扭矩变化CMP终点检测方法提供理论依据

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  • In this paper, we propose a new approach based on spectral entropy and spectral subtraction for noisy speech endpoint detection, and discriminative rules with robustness.

    本文提出基于减法相结合带噪语音端点检测改进算法以及端点检测的判决准则。

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  • While speech recognition system is put into use, it must be robust to noise. The endpoint detection in noisy background plays an important role in the whole recognition system.

    语音识别系统的实用化需要噪声很强的鲁棒性,而噪声环境下的端点检测整个识别系统性能关键作用

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  • The first is the endpoint detection based on fractal dimension. It utilizes fractal dimension superiority and overcomes the difficulty of decision threshold in noise environment.

    方法利用了噪声情况下作为语音端点检测参数优越性克服噪声情况下判决门限难以估计的问题。

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  • The endpoint detection based on short-time average magnitude of speech signals relative autocorrelation sequences can be detected in high accuracy under the low signal-to noise ratio.

    较低情况基于语音信号短时相对自相关序列的短时平均幅度端点检测能够获得较高检测精度

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  • Firstly, the digital speech signal processing and some common speech endpoint detection methods are summarized and analysed. Some experiment results and improvements are also shown in the paper.

    本文首先总结语音信号数字化处理过程,分析了常用的几种端点检测方法给出了其实验结果一些相应的改进

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  • The endpoint detection technology of speech signal is to accurately determine starting point and ending point from a section of speech signal. Thus it can distinguish speech and non-speech signal.

    语音信号端点检测技术就是包含语音信号中准确地确定语音的起始终止点,区分语音和非语音信号。

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  • Abstract: the application of high-strain dynamic tentative piling technique to determining limited bearing capacity of pile endpoint soil is a good method in the field of dynamic depth detection.

    文摘应用应变动力试桩法确定极限承载力动力触探领域中的一种方法

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  • The application of high-strain dynamic tentative piling technique to determining limited bearing capacity of pile endpoint soil is a good method in the field of dynamic depth detection.

    应用应变动力试桩法确定极限承载力动力触探领域中的一种方法

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  • The application of high-strain dynamic tentative piling technique to determining limited bearing capacity of pile endpoint soil is a good method in the field of dynamic depth detection.

    应用应变动力试桩法确定极限承载力动力触探领域中的一种方法

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