Modified Dynamic Programming Algorithm and Markov Model for Melody Matching
Date Issued
2011
Date
2011
Author(s)
Lin, Guo-Lin
Abstract
We often memory a melody on our mind, or we want to know the more information about the music that we heard from the street. Therefore the application of music retrieval appears important these days. It is efficient that we use good music retrieval method to find the desire songs.
Relative to the past that we use the song name or author name of the song, there is a system called query by humming (QBH) system in recent year. It uses the information of the melody that people hum to find the similar song in the database and generate a series of possible song. It is convenient for people that we do not know the song name or the author of the song.
But there are some problem, including many kinds of singing style and large number of song of database. We focus on these problems in the thesis and propose method to deal with.
Experiment results show that the hit rate will increase and the running time will decrease. It causes the convenience of QBH system.
Subjects
Query by humming
melody matching
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