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1)  weighted features compensation transformation
加权特征补偿变换
1.
Based on feature processing and model compensation, a weighted features compensation transformation method based on GMM for robust speaker verification was proposed.
从特征值处理和模型补偿两方面考虑,提出了基于高斯混合模型的加权特征补偿变换的抗噪声方法。
2.
This dissertation focuses on the research on Transformation-based Gaussian mixture model, weighted features compensation transformation and adaptive histogram equalization to improve the performance of speaker identification and the robustness in practical application environment.
提出了基于高斯混合模型的加权特征补偿变换的抗噪声算法。
2)  feature compensation
特征补偿
1.
In order to overcome those influence of the negative environment, I tried to investigate the relative research on feature extraction, feature compensation, channel compensati.
为克服这些不利因素的影响,本文在特征参数提取、特征补偿、信道补偿等几个方面进行了研究,主要工作如下: 分析了特征参数的非线性失真引起语音识别系统性能下降的原因,介绍一种基于概率模型的特征补偿算法,利用干净语音、噪声和信道偏移的先验概率分布信息,由带噪语音得出干净语音的最小均方误差估计。
2.
A feature compensation algorithm based on hidden Markov model(HMM) and parallel model combination(PMC) is presented.
提出了一种基于隐马尔可夫模型和并行模型组合的特征补偿算法。
3)  complementary characteristics
补偿特征
4)  variable feature weighting
可变特征加权
5)  compensatory nature
补偿性特征
1.
Based on Schema theory, this research tries to study the compensatory nature of English language proficiency and academic background knowledge in EAP reading.
本研究以图式为理论基础,旨在探讨英语知识和专业背景知识在学术英语阅读理解中的补偿性特征。
6)  weighting method of compensation
加权补偿法
1.
A new algorithm of utter compensation, which is called “weighting method of compensation” for curve of the second order, has been developed.
提出了一种新的任意二次曲线半径补偿算法—加权补偿法 ,本算法用加权平均及权值修正技术 ,在插补过程中逐步地补偿刀具半径带来的偏移误差 ,解决了数控系统中非圆二次曲线必须靠分段近似来加工的难题。
2.
A new algorithm,which is called "weighting method of compensation" for exponential curve of acceleration and deceleration in CNC,is developed.
提出了数控系统中一种新的指数升降速控制曲线算法 -加权补偿法 ,该算法用加权平均及权值修正技术 ,解决了数控系统中指数升降速控制曲线不能任意动态调整的难题。
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