一种改进的线路平断面图制作方法

本文分析了传统平断面存在的不足,在此基础上结合工程需要,提出了一种基于遥感影像的平断面图,并就其制作原理进行了详细阐述,同时完成了相应制作程序。本文提出的改进的高压输电线路平断面图,具有准确、直观等优点,已在高压输电线路工程中得到广泛应用,能更好地辅助杆塔定位。     

BURSTS: A bottom-up approach for robust spotting of texts in scenes

In this paper, we present a bottom-up approach for robust spotting of texts in scenes. In the proposed technique, character candidates are first detected using our proposed character detector, which leverages on the strengths of an Extremal Region (ER) detector and an Aggregate Channel Feature (ACF) detector for high character detection recall. The real characters are then identified by using a novel convolutional neural network (CNN) filter for high character detection precision. A hierarchical clustering algorithm is designed which combines multiple visual and geometrical features to group characters into word proposal regions for word recognition. The proposed technique has been evaluated on several scene text spotting datasets and experiments show superior spotting performance.     

用MATLAB实现维吾尔语广播新闻敏感词检索系统

首先,用MATLAB开发一个敏感词检索系统;然后,用该系统对语音信号来自于新疆广播电台网站的维吾尔语新闻60分节目语音进行连续敏感词检索;最后,对识别结果进行分析并提出提高正识率的思路．     

基于最小方差无失真响应谱的语音特征提取

对最小方差无失真响应谱进行了研究,并将其应用到语音特征参数的提取中,对传统的美尔频率倒谱系数提取方法进行了有效的改进。该方法首先计算短时语音信号的最小方差无失真响应谱,在该谱的基础上提取美尔频率倒谱系数。基于最小方差无失真响应谱的美尔频率倒谱系数在保留语义信息的同时有效抑制了说话人信息,更加适合于关键词检出。     

Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents

In keyword spotting from handwritten documents by text query, the word similarity is usually computed by combining character similarities, which are desired to approximate the logarithm of the character probabilities. In this paper, we propose to directly estimate the posterior probability (also called confidence) of candidate characters based on the N-best paths from the candidate segmentation-recognition lattice. On evaluating the candidate segmentation-recognition paths by combining multiple contexts, the scores of the N-best paths are transformed to posterior probabilities using soft-max. The parameter of soft-max (confidence parameter) is estimated from the character confusion network, which is constructed by aligning different paths using a string matching algorithm. The posterior probability of a candidate character is the summation of the probabilities of the paths that pass through the candidate character. We compare the proposed posterior probability estimation method with some reference methods including the word confidence measure and the text line recognition method. Experimental results of keyword spotting on a large database CASIA-OLHWDB of unconstrained online Chinese handwriting demonstrate the effectiveness of the proposed method.     

基于得分归一化和系统融合的语音关键词检测方法

为了有效利用不同关键词检测系统的互补性,解决不同系统检测结果置信度得分不在同一范围的问题,提出了一种基于得分规整和系统融合的语音关键词检测方法。首先,为了克服连续语音识别系统中因剪枝错误而引起的关键词丢失问题,应用了关键词相关的软Beam宽度剪枝策略裁剪词图;其次,在系统融合前采用得分归一化方法,使得不同系统关键词检测结果置信度得分在同一范围;最后,通过系统融合处理将不同系统的关键词输出进行整合,得到最终的关键词检测结果。实验结果表明,经过得分归一化处理后,关键词检测性能的实际查询词权重代价(Actual term-weighted value, ATWV)平均相对提升30%;系统融合后关键词的检测性能,相比于得分归一化处理后的最佳单一系统,得到了10%的提升。     

微细钻头超声轴向振动钻入横向偏移的有限元分析

利用有限元技术对微细钻头超声轴向振动钻入横向偏移过程进行深入分析。结果表明,超声轴向振动钻削从根本上改变了普通钻削的钻入机理,减小了横向偏移量,提高了钻入定心精度,特别适合硬脆材料上的微小孔的精密和超精密加工。