基于大页内存的哼唱检索系统改进方法  

An Improved Methodof Query by Humming System Based on Huge Page Cache

作　　者：陈磊[1] 刘艳梅[1] Chen Lei Liu Yanmei(The 28th Research Institute of China Electronic Technology Group Corporation, Nanjing 210007, China)

机构地区：[1]中国电子科技集团公司第28研究所,南京210007

出　　处：《信息化研究》2017年第2期47-50,共4页INFORMATIZATION RESEARCH

摘　　要：文章针对传统哼唱检索方案性能较低的问题,提出一种基于大页内存的哼唱检索系统改进方法,并选取n-gram模型搭建哼唱检索系统,分析大页内存技术对哼唱检索系统性能的改进效果,并通过实验验证了改进方案的有效性。In this paper, based on the problem of low performance of traditional query by humming system, an improved method based on huge page cache is proposed. The n-gram model is selected to construct the query by humming system, and huge page cache technology is analyzed for the performance of query by humming system. The effectiveness of the improved method is verified by experiment.

关 键 词：哼唱检索 N-GRAM模型 大页内存 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]