基于词激活力的关键词置信度评估算法

Many Spoken Term Detection (STD) sys-tems use query expansion to return an increased number of keyword candidates and make posterior probability a confidence feature to reject false a-larms. However, some keyword candidates hold high posterior probability although these are not recognized correctly. We investigate the Word Acti-vation Force (WAF) model that compatibly encodes syntactical and semantic information into sparse coding directed networks. A high-level confidence feature Keyword Activation Force (KAF) based on WAF is proposed. KAF can be used for detecting false alarms by considering information about the neighbors to provide a more reliable and accurate keyword affinity. Compared with the baseline sys-tem, a relative reduction of 30.94% in average error rate could be achieved when KAF is combined with the posterior probability and the language model score.     

基于加权音节混淆矩阵的候选扩展算法在中文大词汇量连续语音识别中的应用(英文)

The inclusion of more potentiallycorrect words in the candidate sets is important to improve the accuracy of Large Vocabulary Continuous Speech Recognition(LVCSR).A candidate expansion algorithm based on theWeighted Syllable Confusion Matrix(WSCM)is proposed.First,WSCM is derived from aconfusion network.Then,the recognised candidates in the confusion network is used to conjecture the most likely correct words based onWSCM,after which,the conjectured wordsare combined with the recognised candidatesto produce an expanded candidate set.Finally,a combined model having mutual informationand a trigram language model is used to rerank the candidates.The experiments on Mandarin film data show that an improvement of9.57% in the character correction rate is obtained over the initial recognition performanceon those light erroneous utterances.     

八面河低渗透率稠油油藏压裂工艺的研究与应用

八面河油田面14区沙4段具有渗透率低、油稠的特点。据此,用低浓度、低度交联、对水敏性地层伤害小的压裂液配方体系,对地层进行有机解堵、酸化等预处理;用压裂模拟软件优化施工设计,提高加砂强度能够使压裂后的地层保持足够的导流能力,避免地层出砂,取得了显著的增产效果。这种方法在难以动用的沙4段6砂组得到了有效利用,增加了可采储量。     

基于可视化分层递阶表示模型的社会和谐评价方法

以中国城市和谐发展指数为例,提出了一种多维数据的分层递阶表示模型,它具有鲜明的可视化特点。应用该模型对41个城市的和谐发展进行整体评价分析,实现了社会和谐多维数据分层信息融合的评价和评价结果的可视化,为社会科学的定量研究提供了一种新方法。基于多元图的可视化信息融合不仅给出系统整体状态的定量表达,而且可以从不同层次图形的几何形状确定评价指标的优劣程度。