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The Research Of Music Retrieval

Posted on:2013-09-29Degree:MasterType:Thesis
Country:ChinaCandidate:F WangFull Text:PDF
GTID:2248330371968781Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
In recent years, with the rapid development of multimedia and network technology,multimedia information dramatically increased the amount of data, it is not enough topass information such as song name, the lyrics, the singer for text retrieval. Especiallywhen people only remember a melodic fragment of song, how quickly retrieve relatedmusic through the music of there was an urgent need to resolve the problem.Humming retrieval melody-based technology has now become one of the hot topicsof today, but until now it has not been widely promoted. This is mainly because, most ofthe QBH systems are currently based on the MIDI audio file retrieval, and has strictrequirements on the humming and humming environment. In real life, people areexposed to are MP3format and WAV format, WMA format music files, very little musicin MIDI format files, so how to humming to retrieve the audio file formats such as MP3,and humming conditions shall apply to the general public, this is the problem of thisarticle. Problems to be solved in view of the above, the article do the following work:1) Through to the acoustic feature parameter analysis, choose the decision keymelody characteristic parameters. This parameter to satisfy: no matter whose with whatkind of means to sing, as long as the same tone, characteristic parameter will be thesame.2) Because of this article is to be retrieved with the audio file for the backgroundmusic, so this article through the study of common notes pitch algorithm, proposed adifferent note pitch algorithm. This algorithm not only small amount of computation, butalso reduces the problem of background music to retrieve work.3) Through the analysis of the precise relationship between scales and pitch, melodymatch algorithm in common on the basis for their respective advantages anddisadvantages presented an improved algorithm for string matching, thereby improvingthe matching accuracy of retrieval.4) Finally, on the basis of the above analysis, implemented in the general context ofMP3, WAV and other audio files in different formats humming retrieval and simulationof many different experiments and results analysis.
Keywords/Search Tags:Characteristics of the main theme, Pitch extraction, Note segmentation, Melody matching
PDF Full Text Request
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