Chapter 1
INTRODUCTION
A. Background of the Study
Nowadays, due to the advancement of computer technologies, multimedia data storing and retrieval processes have been developed for efficiency. There are several applications present all over the web where the recording of a certain piece of music has to be analyzed. These applications cover from Cognitive Musicology, in which it uses computer modeling to study music-related knowledge representation, performance analysis, and educational methods to improved audio players and editors as well as special query engines. Several studies have been created in line with the performance analysis of different sequences. Most of the studies are related to music alignment, “Improving Accuracy of Polyphonic Music-To-Score Alignment” by Bernhard Niedermayer (2009) is one of the published papers that focused on the performance analysis of music. There are a lot of algorithms and methods that are used in performance analysis like measuring the similarities between two sequences that may vary in time or speed of performance. One of the common algorithms used in performance analysis is the Dynamic Time Warping (DTW) which was also used by Bernhard Niedermayer. DTW is a well known algorithm which is extremely efficient in terms of time-series similarity measure that reduces the effect of distortion in time by permitting “elastic” transformation of time series order to detect similar waves in two sequences even in different phases (Pavel Senin, 2008). Senin stated two time series;
X = (x1, x2, …xN), N ∈ N and Y = (y1, y2, …yM), M ∈ N
represented by the sequences of values, DTW yields optimal solution in the O(MN) time which could be improved through different techniques like the multi-scaling. A different study using the DTW with another algorithm which is the hidden Markov models (HMMs), is compared for automated recognition of bird song elements from continuous recordings (Kogan and Margoliash, 1998). According to the authors,... [continues]
INTRODUCTION
A. Background of the Study
Nowadays, due to the advancement of computer technologies, multimedia data storing and retrieval processes have been developed for efficiency. There are several applications present all over the web where the recording of a certain piece of music has to be analyzed. These applications cover from Cognitive Musicology, in which it uses computer modeling to study music-related knowledge representation, performance analysis, and educational methods to improved audio players and editors as well as special query engines. Several studies have been created in line with the performance analysis of different sequences. Most of the studies are related to music alignment, “Improving Accuracy of Polyphonic Music-To-Score Alignment” by Bernhard Niedermayer (2009) is one of the published papers that focused on the performance analysis of music. There are a lot of algorithms and methods that are used in performance analysis like measuring the similarities between two sequences that may vary in time or speed of performance. One of the common algorithms used in performance analysis is the Dynamic Time Warping (DTW) which was also used by Bernhard Niedermayer. DTW is a well known algorithm which is extremely efficient in terms of time-series similarity measure that reduces the effect of distortion in time by permitting “elastic” transformation of time series order to detect similar waves in two sequences even in different phases (Pavel Senin, 2008). Senin stated two time series;
X = (x1, x2, …xN), N ∈ N and Y = (y1, y2, …yM), M ∈ N
represented by the sequences of values, DTW yields optimal solution in the O(MN) time which could be improved through different techniques like the multi-scaling. A different study using the DTW with another algorithm which is the hidden Markov models (HMMs), is compared for automated recognition of bird song elements from continuous recordings (Kogan and Margoliash, 1998). According to the authors,... [continues]
Cite This Essay
- APA
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(2012, 02). Chord Matching System for Recorded Piano Piece and Original Midi Songs. StudyMode.com. Retrieved 02, 2012, from http://www.studymode.com/essays/Chord-Matching-System-For-Recorded-Piano-922365.html
- MLA
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"Chord Matching System for Recorded Piano Piece and Original Midi Songs" StudyMode.com. 02 2012. 02 2012 <http://www.studymode.com/essays/Chord-Matching-System-For-Recorded-Piano-922365.html>.
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"Chord Matching System for Recorded Piano Piece and Original Midi Songs." StudyMode.com. 02, 2012. Accessed 02, 2012. http://www.studymode.com/essays/Chord-Matching-System-For-Recorded-Piano-922365.html.
