关键词：
音频信息检索
声音信号处理
检索方法
摘要：
How to retrieve the vast audio information effectively and efficiently is not only a hotspot for researchers, but also a trend for the industrial community to build up newapplications and find new ways to make *** the three years of my ***, I have investigated the key technologies of building audio information *** main research work focused on the following aspects:\n First of all, this thesis proposed a solution to build up a query bysinging/humming system, from melody database building, melody feature extractionand melody *** automatic build melody database, I proposed a mainmelody track extraction algorithm from raw-MIDI files, and a melody phrasesegmentation method; to extract robust feature, two feature extracting methods areadopted: pitch sequence extraction and note sequence extraction; to speed up thematching process, a candidate set reduction method is firstly adopted to filter out theunlikely candidates by faster but less precise methods; then a more accurate butslower strategy is executed on the survival candidate set to perform a finer *** decision level, I utilize these scores generated during the filtering stage andfine-matching stage to fuse together to get more accurate *** proposed systemparticipated in the QBSH contest, MIREX2008, and won the 1st place in bothsub-tasks (for Roger Jang\'s Corpus and ThinkIT\'s Corpus).\n Second, in the area of audio template searching, this thesis referred to twodifferent methods: fingerprinting-based template searching and audio vector spacemodel-based template *** paper proposed a novel method for assigning aweight to an audio word according to the capability to distinguish different audio *** on the research work, I implemented an advertisement identification systemand an automatic new advertisement detecting system, the experiment results showthat these two systems could be put into practical use.\n Thirdly, the paper adopted
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