Instrumentation Analysis of Polyphonic Music and Its Application to Music Similarity Measure
Date Issued
2009
Date
2009
Author(s)
Hsu, Nien-Teh
Abstract
During the past few decades, the world has ushered in a new era, with booming Internet technology and immense multimedia content distribution. The acquisition and circulation of digital music ?le become much easier than ever. Due to this rapidly rising of music quantity, a brand new way of discovering and recommending music is thus highly expected. n the beginning of this study, a conventional music similarity measure system based on the signal analysis methods is implemented and evaluated. According to the experimental results, it shows that the low-level features from signal analysis techniques are not strong enough to ful?ll the discrimination between various musical content, such as the chord progression, genre, instrumentation, and melody. Therefore, the aim of this study is to incorporate the low-level feature with the mid-level feature, in order to utilize the musical content. We focus on the way to extract the instrumentation information leaved by the composers. The time-frequency analysis of musical instrumental signals and the classification problem of various instruments in the monophonic case are studied. After that, we extend the idea to deal with the polyphonic music and analyze its time-varying instrumentation information. By incorporating this information back to the original similarity measure system, the calculated similar songs can resemble to each other specifically in the sense of the instrumentation.
Subjects
Content-based music information retrieval
Instrument classification
Music similarity measure
Audio signal processing
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-98-R96942047-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):9d6c0d4af327a84f9495372a6391cdca