Analysis and Comparison of Instrumental Music using Spectrum Histogram, Periodicity Histogram and Fluctuation attern
Date Issued
2008
Date
2008
Author(s)
Chou, Sheng-Che
Abstract
In this thesis, I introduce three different methods for music similarity measuring in detail. And then I apply these three methods to 50 songs I chose (frankly viewed as 5 groups, each one has 10 songs). By comparing these results, we can understand which method is the most effective and most accurate. Because we can view an audio data in many different views of point, we have to choose a property on which we focus before starting the similarity measures. In this thesis, I choose the property “timbre” as my yardstick. In chapter 2, I describe the property “timbre” in detail. Other properties such as melody, rhythm, and genre are referred to. Based on these properties, the very first step of measuring similarity of music is constructed. In chapter 3, some backgrounds of building these similarity measure methods are discussed in detail, e.g. Mel-Frequency Cepstrum Coefficient and Sone-Bark Representation. In chapter 4, three methods for measuring the music similarity are particularly described. They are spectrum histogram (SH), periodicity histogram (PH), and fluctuation pattern (FP). In Chapter 5, SH, PH, and FP will be applied to instrumental music. We can know the best method to distinguish different instruments. Chapter 6 is about conclusion and future works.
Subjects
spectrum histogram
periodicity histogram
fluctuation pattern
Type
thesis
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