查询词典 speech defect

In view of disadvantages in present defect reconstruction methods,such as over-long time or excessive need for training samples,a new defect reconstruction method based on similar model and genetic algorithm was investigated as follows:similar model between non-axisymetric defect and axisymetric defect was represented,and proportionality factor was deduced by skin depth equation.

针对以往缺陷重构方法中普遍存在的计算时间长或需要大量训练样本的缺点，提出一种基于相似模型和遗传算法的缺陷快速重构方法，分析非轴对称缺陷与轴对称缺陷之间存在的相似模型，并利用集肤深度公式推导出两者之间的缩比因子，从而将耗时巨大的缺陷重构问题转换为二维轴对称情况下的计算问题；同时为进一步缩短重构时间，提出一种加快遗传算法收敛速度的方法。

RESULTS: During 10 - 12 weeks, in cuntrol group: The defect area was repaired by white and soft tissue that had no resistance to press. The repaired tissue was still lower than the surrounding articular surface with clear boundary. By histological observation, it was found that the defect was repaired by the mechanism similar to inflammatory reaction and the defect is ultimately filled by the hyperplasia of hyaline degenerative fibrous tissues. In filling group: the defect was repaired by semi-transparent, smooth, textured tissues with polish that had resistance to press as well as elasticity. The repaired tissue was almost similar to the shape of the surrounding cartilage,difficult to be distinguished. After histological observation, it was found that there was no inflammatory reaction, but active hyperplasia of inner bonetissue and cartilage tissues; a lot of osteoid tissues and trabeculation were found. Newlborn cartilage was fused with surrounding cartilage tissue and connected with surrounding tissues.

结果：10～12周，对照组：缺损区由白色、质软、按压无阻抗的组织修复，修复组织仍低于周围关节面，边界仍清晰可辨，组织学以类似炎症反应的机制修复缺损，最终以透明变性的纤维组织的增生来填补缺损部位；填充组：缺损区由半透明状、质韧光滑有光泽，按压有阻抗并有弹性的组织修复，修复组织与周围软骨外形上已基本相似，不易区分，组织学未见有炎症反应的过程，内骨组织和软骨组织增生活跃，并可见大量类骨组织和骨小梁形成，新生软骨和周围软骨组织融合，并与周围组织连接。

The article is used be based on the mark method that replaces array and border to dog the diagnostic information of disease of defect of algorithmic and fast extraction, use many defect disease to detect next the result builds defect disease diagnostic information library and defect disease classify criterion, those who put forward a kind to exceed big picture is automatic and fast detect classified method.

本文采用基于替换数组的标记方法和边界跟踪算法快速提取疵病的特征信息，然后利用大量疵病检测结果建立疵病特征信息库及疵病分类准则，提出了一种超大图像的自动快速检测分类方法。

According to the common process of software metric,a research on software reliability metric which is based on the real defect is made firstly.Then the quantitative defect statistic method is applied which is based on ODC.This method can describe the information of defect well and can be used for process improvement.At last, the qualitative method of defect analysis is showed,which can dredge up underlying information.

首先将缺陷度量方法按照软件度量的一般方法进行研究和探讨；其次，以正交缺陷为基础，提出了定量的缺陷统计方法，这种方法能够更好地描述缺陷的性质，对相关信息可进行分类统计、分析，为过程改进提供依据；最后，提出了一些定性的缺陷分析方法，可充分挖掘缺陷的潜在信息。

This dissertation begins with the analysis of speech signal pretreatment and does some points test, draws the characteristic parameter of the introduction pronunciation through MATLAB speech processing toolbox, gets rid of the aphonia segment and yawp of speech signal, offers effective speech segment for the distill of speech characteristic parameter.

本系统首先从语音信号的预处理开始分析，通过MATLAB语音处理工具箱提取输入语音的特征参数，对语音信号进行了端点检测，滤除了语音信号的无声段和噪声，为语音特征参数的提取提供了有效语音段。

For the pitch misgrouping problem caused by no voicing decision in Meddis'pitch extracting method for concurrent speech signals, referring to voicing decision for single speech signal, basing on the analysis of the voicing charater of concurrent speech signals, we present a voicing decision method in pitch extracting for concurrent speech signals. Double periodic degree and frequencies group's distribution degree are introduced for voicing decision of concurrent speech signals.

针对Meddis的基于听觉心理生理的混叠语音基频提取算法中不分清浊音所导致的语音基频错判问题，借鉴了单语音清浊音判断的方法，基于对混叠语音的清浊性能的分析，提出了混叠语音基频提取中的清浊音判断算法，提出了判断混叠语音周期性的双周期度及判断频带组周期性的分布度两个指标，用于混叠语音基频提取中的清浊音判断。

Main on-going research works include:"Expressive speech synthesis system","Spontaneous Speech Generation in Natural Human Computer Interaction"(863),"High performance distributed speech synthesis and recognition engine"(863),"The evaluation system of Chinese information processing"(863),"Multilingual speech synthesis system","emotional speech synthesis and classification","text independent voice conversion", etc.

当前正在进行的研究工作包括：具有表现力的语音合成系统，自然人机交互中的口语产生系统（863），高质量分布式语音合成和语音识别引擎的研究（863），中文信息处理评价系统（863），多语言语音合成系统，情感语音合成与情感分类，文本独立的语音转换系统等。

It summarizes the current advancements in the aboveOmentioned field in terms of eight aspects :①relations between L2 speech perception and production ,②L2 phonological studies ,③L2 speech segmental studies ,④L2 speech acquisition models ,⑤L2 speech suprasegmental studies ,⑥L1 transfer in L2phonological acquisition ,⑦nonO linguistic factors in L2 phonological acquisition ,and ⑧L2 speech instruction.

本文主要探讨了国外第二语言语音习得研究近年来的进展，着重涉及以下8 个方面：①二语口头话语感知与表达的关系、②二语口头话语的音系学研究、③二语口头话语的语段理论研究、④二语音系理论模型的构建、⑤二语口头话语的超音段研究、⑥二语音系习得中的母语迁移、⑦非语言因素对二语音系习得的影响、⑧二语语音教学研究。

Tenthly, this Chinese should be smart and eloquence as obama, remind you, when choose an assistant, he should not find the one with Chinese stylel who draft out all speech lecture, as those people can make this simplest issues into most complicated ones, making a 10 minutes speech to 30 minutes, woshington is the model he should learn in the aspect of speech , on march 4,1793, Washington gave a 135 words of speech during inaugural speech .

第十，这位华裔本人一定要像奥巴马一样聪明绝顶，雄辩超群。需要提醒他的是，在选择助手时，他一定不能找中国式的秘书为他起草任何演讲稿，因为那些人常常把最简单的问题极端复杂化，使你把本来可以用十分钟结束的演讲放大到四小时三十分钟。这位华裔在演讲方面应该学习的榜样是华盛顿，1793年3月4日，华盛顿在他的总统就任典礼上发表了一篇只有135字的就职演说。

By applying machine vision and digital image processing technology to fabric defect detection ,this paper puts forward a new method of detection of fabric defect,namely image distance difference arithmetic,which includes image collection,image precess and defect detection.

将机器视觉与数字图像处理技术引入到织物疵点检测中，提出了一种织物疵点检测算法———图像距离差算法，即图像采集、图像处理、疵点识别等。

He tendered his resignation to the Prime Minister.

他向首相递了辞呈。不适合

International economy and trade,Nanking 210044

国际经济与贸易，南京 210044