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Home > english-chinese > "residual noise" in Chinese

Chinese translation for "residual noise"

残留噪声

Related Translations:
residual relay:  零序继电器
residual buoyancy:  剩余浮力
residual liquor:  残留药液残余熔浆
residual swelling:  残余膨胀
residual realization:  余值实现
residual deviation:  剩余罗差剩余偏差剩余自差
residual immunity:  残留免疫残余免疫
residual oxide:  残留氧化物
residual capacitance:  剩余电容
residual stability:  残余稳定性
Example Sentences:
1.Single channel subtractive - type algorithms is often used in the speech enhancement , but musical residual noise will appear
处理宽带噪声最通用的技术是减谱法,但在听觉上形成残留“音乐噪声” 。
2.The experiment result shows that the approach restrains from the background noise and music residual noise and improved the speech - sound quality
实验结果表明,方法有效抑制了背景噪声和音乐噪声并提高了语音质量。
3.1 . speech enhancement method based on masking properties of the human auditory system is described . in this paper , a threshold is got through simulating the frequency of human auditory in order to reduce the musical residual noise and the background noise
在阈值法除噪中阈值确定是极为重要的环节,本文模拟人耳听觉掩蔽效应来确定阈值大小,以有效的掩蔽残留的音乐噪声和最大限度的保留语音。
4.In signal space , speech enhancement is adopted to effectively suppress the noise and increase the discriminative information embedded in noisy speech signal . however , the speech distortion introduced by enhancement , as well as the residual noise , is a very adverse factor for recognition
在信号空间,利用语音增强有效抑制噪声,提高输入信号中的鉴别信息,但增强带来的语音失真和增强后的剩余噪声是对语音识别非常不利的因素。
5.In order to reduce the musical residual noise and the background noise , a speech enhancement method based on masking properties of the human auditory system is described . this method uses bark wavelet packet transform to simulate the frequency feature of human auditory model to get the threshold
本文以最大限度减少残留噪声和背景噪声为目的,采用bark子波分析的方法模拟人耳基底膜的频率分析特性来进行语音增强,重点进行模拟人耳听觉掩蔽效应来确定除噪阈值的研究。
6.It can be concluded after analysis that the speech distortion and the residual noise can be approximately regarded as multiplicative noise and additive noise , respectively . thus , we use a parallel model combination ( pmc ) algorithm , which is deployed in model space , to adapt the parameters of speech models to compensate the residual noise , or we use a cepstral mean normalization ( cmn ) algorithm in feature space to compensate both the speech distortion and the residual noise
分析表明,语音失真和剩余噪声可近似看作乘性噪声和加性噪声,因此可在模型空间利用并行模型合并( pmc )算法通过调整模型参数对剩余噪声进行补偿,或者在特征空间利用倒谱均值归一化( cmn )算法对语音失真和剩余噪声同时进行补偿。
7.We analyse the dispersion of stock returns and have the tests of serial correlation . the results show that the trading mechanism has a significant effect on a number of characteristics of stock returns . first , the distribution of open - to - open returns has greater variance than that of close - to - close returns . second . the serial correlation pattern is quite different in the two return series . the open - to - open returns have negative autocorrelation coefficient , but the close - to - close returns is positive . further , employing an arma ( 1 , 1 ) model we find that in the opening . returns exhibit higher residual noise and stronger dependence on past returns , reflecting stronger deviations from the random - walk form of the market efficiency hypothesis
主要表现为:一,开盘收益序列比收盘收益序列具有更大的方差。二,两种收益序列的序列相关形式不同,开盘收益序列表现为负相关,而收盘收益序列表现为正相关。而且我们通过arma ( 1 , 1 )模型的进一步检验,发现开盘收益序列比收盘收益序列具有更大的残差,更依赖于过去的收益序列,也更偏离于市场有效的随机游走形式的假设。
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