Spectral enhancement of Polish vowels to improve their identification by hearing impaired listeners

Abnormalities in the cochlear function usually cause broadening of the auditory filters which reduces the speech intelligibility. An attempt to apply a spectral enhancement algorithm has been undertaken to improve the identification of Polish vowels by subjects with cochlear-based hearing-impairment. The identification scores of natural (unprocessed) vowels and spectrally enhanced (processed) vowels has been measured for hearing-impaired subjects. It has been found that spectral enhancement improves vowel scores by about 10% for those subjects, however, a wide variation in individual performance among subjects has been observed. The overall vowels identification scores obtained were 85% for natural vowels and 96% for spectrally enhanced vowels.     

Bias in modal parameters due to aliasing in the time domain

This paper deals with some aliasing effects in the time domain that can lead to unacceptable misestimations of modal parameters. When a frequency response function of a vibrating system is sampled and inverse Fourier transformed, the resulting impulse response is given by an infinite geometric series, the single term of which is the impulse response itself shifted in time. For this reason, some modal parameters, if estimated in the time domain, are biased; in particular, while the damping factor and the natural frequency are not influenced by the aliasing phenomenon, the magnitude and phase of the residue can be highly biased. Corrective terms are theoretically evaluated and their efficiency is shown in numerical simulations.

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Sommario In questo articolo e' presentato un metodo per correggere gli errori che si compiono nella stima di alcuni parametri modali, quando essi vengono ricavati nel dominio del tempo. Infatti se la funzione di risposta in frequenza e' ottenuta con eccitazioni particolari—quali ad esempio lo pseudo-random, lo stepped-sine a passo costante o lo sweep in frequenza-la risposta impulsiva, ottenuta per mezzo dell'antitrasformata discreta di Fourier, risulta periodica, con periodo pari all'inverso della spaziatura tra le righe spettrali. Cio' comporta un errore nella stima dell'ampiezza e della fase del residuo, mentre nessuna conseguenza si ha sulla frequenza naturale e sul fattore di smorzamento. L'errore sulle stime risulta tanto piu' grande, quanto meno smorzata e' la risposta impulsiva all'interno dell'intervallo di osservazione.Partendo dall'inviluppo e dalla fase istantanea dei segnali complessi, ottenibili per mezzo della trasformata di Hilbert, si sono ricavati i termini correttivi sia per il modulo, che per la fase del residuo. La validita' delle correzioni e' mostrata con esempi numerici.

     

FIR数字滤波器的递推最小二乘设计算法

本文考虑对称系数及反对称系数的ＦＩＲ数字滤波器的设计问题,设计准则选为最小加权平方误差准则,并将这个设计问题看成一个线性系统的辨识问题,辨识系统参数所需的输入数据由一随机抽样法产生,辨识算法采用递推最小二乘法．按随机抽样法产生的数据具有很强的激励,保证了被辨识参数的收敛性,同时又自然地实现了最小加权平方误差准则．两个设计范例说明了本文提出的设计方法的有效性．     

微幅晃动下车载SINS初始对准技术研究

为了研究微幅晃动状态下车载SINS初始对准技术,本文利用导航计算机采集惯性测量组件输出的比力和角增量信号,在载车初始粗对准之后,分别采用卡尔曼滤波法和参数辨识法完成精对准实验,结果表明在粗对准算法相同、精对准时间相等的情况下,卡尔曼滤波精对准比参数辨识精对准能够获得更好的对准精度,对于工程应用具有一定的参考价值。     

电信运营商网络投诉工单智能语义稽核技术

本文基于自然语言处理、语义相似度和实体识别等算法,构建了面向网络投诉工单的智能语义自动稽核系统,挖掘回单中自然语言的命名实体、事件和关系,通过特征提取、模型构建、语义泛化和匹配度计算等环节,输出质检所需的语义关键信息,实现对网络投诉工单传统质检方法的智能化提升.同时,本文设计和实施了一种投诉工单专家规则泛化词构建方法,...     

双酚A人工抗原的光谱表征及免疫鉴定研究

双酚A(bisphenol A,BPA)是一种酚类环境雌激素,即使极低剂量残留对人类健康也有危害。为了建立其简单快速并适应现场检测的免疫分析方法,必须先合成它的人工抗原并进行鉴定。通过对双酚A进行结构修饰,用碳二亚胺将结构修饰了的双酚A与牛血清蛋白相偶联,经透析得到纯的双酚A人工抗原并冷冻干燥备用。然后用紫外光谱、红外光谱和免疫方法对人工抗原进行鉴定。结果表明,合成的人工抗原紫外光谱图中具有蛋白质和双酚A的特征吸收峰;人工抗原红外光谱图中呈现双酚A和牛血清蛋白的红外特征吸收峰;通过竞争ELISA试验表明用合成的人工抗原免疫的Balb/c小鼠血清中产生了双酚A的抗体。三种方法综合鉴定结果表明双酚A人工抗原合成成功,该人工抗原可以进一步用于制备抗双酚A的单克隆抗体。     

智能移动生活服务平台的研究

随着3G商用进程的不断加快,移动互联成为人们新的商务模式,通过移动终端获取信息产品和服务具有现实意义.文章通过对移动互联商务平台方案应用场景的描述,对用户行为模式的智能识别、智能搜索和二维码识别等技术方案进行了分析和研究,提出了针对用户建立个性化需求模型开发方案的设计,使用户以更快捷的方式找到自己需要的信息,同时为企业达到良好的商业推广效果.     

人工神经网络对VOCs的自动识别

利用人工神经网络(ANN)对严重混叠的傅里叶变换红外光谱图进行了定性和定量解析。通过大量模拟数据训练神经网络后,引用了新的评价标准——逼近度来选择最优网络模型。利用此优化网络对两类光谱图进行了解析,考察了网络的泛化能力。结果表明：该网络不仅能够对两组分同时存在时的样本进行准确解析,而且对于未知单组分光谱图,也能够进行准确鉴别和定量分析。可见, 该研究为人工神经网络在单组分和多组分未知物的定性和定量分析方面提供了一种新思路。     

桂林西瓜霜系列产品的红外光谱分析

采用红外光谱法、二阶导数红外光谱法和二维相关红外光谱法,对桂林西瓜霜系列产品进行了快速无损比对分析研究。结果表明,同一生产厂家不同品种的西瓜霜在红外光谱上差异较显著,所添加辅料的类型和含量有所不同。在一维红外谱图上,西瓜霜喷剂﹑西瓜霜胶囊在638和616 cm-1处有明显的硫酸钠的特征峰;西瓜霜清咽含片﹑西瓜霜喉宝含片和西瓜霜润喉片的红外光谱中,能明显地看到蔗糖、糊精等辅料的特征峰,其中西瓜霜润喉片的红外谱图与蔗糖的红外谱图非常相似,说明西瓜霜润喉片中所添加的蔗糖较多。而在二维红外谱图上,由于五种西瓜霜的自动峰及相关峰峰簇的位置和数量和峰的相对强度的不同,其差别体现得更为明显和直观。应用红外光谱、二阶导数红外光谱和二维相关红外光谱技术,不仅可以提供西瓜霜系列产品主要化学成分的相关信息,还可以对各产品所添加的辅料类型和含量进行分析和指认。因此,红外光谱法是考察中药资源的一种简便、快速、直观、有效的方法。