So voice activity detection is very important in many speech application fields.
在众多语音信号处理应用领域，语音检测技术有非常重要的意义。
This dissertation focuses on the voice activity detection problem under adverse background noise.
本论文研究复杂强背景噪声下的语音信号检测问题。
Recent researches on speech model and decision rule improve the performance of voice activity detection.
各种改进算法针对语音模型、判决规则等核心问题进行了系统研究，检测性能得到了进一步提高。
The noise estimation is updated in both speech frame and noise frame without the voice activity detection.
不采用端点检测，在语音帧内及噪声帧内都进行噪声更新。
And disease resistance of B99267-1 kept stable in all generations which was consistent with enzyme activity detection.
而B99267 - 1抗病性较稳定，随着世代的增加抗病性无明显变化，与酶活检测结果一致。
On discussing the defects of the traditional voice activity detection method based on cepstrum distance, this paper proposes an improved project.
为提高实时通信中语音端点检测系统的性能，提出了一种基于能量和鉴别信息的端点检测算法。
The characteristics of digital voice short energy and ZRC is studied, and a new voice activity detection algorithm based on finite state machine is presented.
研究了数字语音短时能量和过零率特点，提出了基于有限状态机的端点检测新算法。
A novel voice activity detection algorithm is put forward, which is based on soft computing theory, and is applied in adaptive multi-rate speech codec standardized by 3gpp.
本文提出一种新的话音激活检测方法，该方法基于软计算理论，应用于3gpp标准化的自适应多速率语音编码算法。
Methods To investigate the protective effects of Ginsenosides in different dose level on primary cultured rat cortical neurons through MTT colorimetry, activity detection of LDH.
方法采用神经元细胞原代培养，通过MTT比色法及LDH活力测定观察加入不同浓度人参总皂甙对神经元细胞的保护作用。
A new algorithm based on the energy and discrimination information was developed to improve the performance of the voice activity detection system in real-time speech communications.
为提高实时通信中语音端点检测系统的性能，提出了一种基于能量和鉴别信息的端点检测算法。
In order to improve the robustness of voice activity detection (VAD), the use of an algorithm based on complex Gaussian mixture model under nonstationary noisy environments was presented.
针对语音激活检测的鲁棒性问题，提出在非平稳噪声环境下使用基于复高斯混合模型的鲁棒语音激活检测算法。
Our voice activity detection method is simple to be implemented and calculated and has high accuracy, which can work in the real time digital communication network with better signal-noise-ratio.
基于频谱特征的语音激活检测方法易于实现，计算量小且准确率高，适合较高信噪比的实时数字通信网络中。
Objectives: to establish a method of telomere repeat amplification protocol (TRAP) silver stain technique, and to investigate the significance of telomerase activity detection in tumor diagnosis.
目的：建立端粒重复序列扩增(TRAP)-银染色技术，探讨端粒酶活性检测在肿瘤诊断中的意义。
Objectives: to establish a method of telomere repeat amplification protocol (TRAP) silver stain technique, and to investigate the significance of telomerase activity detection in tumor diagnosis.
目的：建立端粒重复序列扩增(TRAP)-银染色技术，探讨端粒酶活性检测在肿瘤诊断中的意义。
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