Many techniques have been explored for endpoint detection.
目前已经开发出许多终点检测技术。
The endpoint detection is important in speech recognition.
端点检测是语音识别中重要的一环。
A new endpoint detection method based on the exponential threshold (et) is proposed.
提出了一种基于指数门限(et)的端点检测方法。
The accuracy of the speech endpoint detection is important to the recognition performance.
语音端点检测的准确性直接影响着语音识别系统性能。
An algorithm for speech endpoint detection based on time-frequency-variance-summation was proposed.
提出了一种基于时频方差和的语音端点检测算法。
In addition, to gain a higher rate, a new logarithmic energy feature is adopted in endpoint detection.
另外，在前端的端点检测中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。
This paper analyzes speech endpoint detection based on short-term energy feature in the presence of noise.
研究了噪声环境下，利用短时能量为特征进行语音端点检测的问题。
Applying the signal processing method, the endpoint detection experiments of the Cu CMP process were carried out.
应用该信号处理方法，进行了铜CMP过程的终点检测试验。
Objective To investigate the clinical value of endpoint detection of HBV-DNA by means of fluorescent quantitive PCR.
目的运用终点法荧光定量pcr检测HBV -DNA，探讨其临床应用价值。
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，用该熵可以得到高正确率的端点检测。
Dynamic photoelectricity endpoint detection which can effectively obviate the interference of environmental and electromagnetic.
动态光电终点检测，有效排除环境干扰和电磁干扰。
Endpoint detection is made to speech in different kinds of noise environments, evaluation and analysis are given to detection results.
对不同类型噪声环境下的语音进行了端点检测，并对检测效果进行了评价和分析。
Speech endpoint detection is a paragraph beginning and end speech analysis, speech synthesis and speech recognition of a necessary link.
语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。
On the basis, the characteristics called the ICA Energy (ICAE) and the Filtered ICAE (FICAE) are used for the noisy signal endpoint detection.
在此基础上提出了IC A能量(ICAE)和滤波icae (FICAE)特征来进行端点检测。
To enhance the accuracy and efficiency of endpoint detection, a detection method based on Circular Autocorrelation Function(CACF) is proposed.
为提高浊音端点检测的准确率和效率，提出一种基于循环自相关函数的检测方法。
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)增强和改进谱熵的语音端点检测方法。
In this paper, the speech enhancement algorithm and the new endpoint detection algorithm are applied to CELP encoder, and EV-CELP model is presented.
本文将语音增强的算法和低信噪比下的端点检测算法应用到CELP编解码器中，提出了EV - CELP编码模型。
The most obviously of all, it needs oneefficient endpoint detection system to monitor CMP operation to avoid polishing over or not polishing completely.
若未能有效地监测抛光运作，便无法避免硅片产生抛光过度或不足的缺陷。
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.
对语音信号端点检测的主要方法，如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等进行了深入研究。
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.
该研究可以为基于抛光头旋转轴扭矩变化的CMP终点检测方法提供理论依据。
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.
本文提出了基于谱熵和谱减法相结合的带噪语音端点检测改进算法以及端点检测的判决准则。
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，需要对噪声有很强的鲁棒性，而噪声环境下的端点检测对整个识别系统性能起着关键的作用。
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.
该方法利用了分形维数在噪声情况下作为语音端点检测参数的优越性，克服了在噪声情况下判决门限难以估计的问题。
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.
在较低信噪比情况下，基于语音信号的短时相对自相关序列的短时平均幅度的端点检测能够获得较高的检测精度。
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.
本文首先总结了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，并给出了其实验结果与一些相应的改进。
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.
语音信号的端点检测技术就是从包含语音的一段信号中准确地确定语音的起始点和终止点，区分语音和非语音信号。
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：应用高应变动力试桩法确定桩端土的极限承载力是动力触探领域中的一种好方法。
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.
应用高应变动力试桩法确定桩端土的极限承载力是动力触探领域中的一种好方法。
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.
应用高应变动力试桩法确定桩端土的极限承载力是动力触探领域中的一种好方法。
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