Presentation | 2015-03-05 Adaptation of Machine Learning Method for Music Structure Analysis Yoshiyuki KUSHIBE, Toshiaki TAKITA, Masatoshi HAMANAKA, Sakurako YAZAWA, Junichi HOSHINO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes the music structure analysis method using machine learning. Music structure analysis is to automatically extract the musical structures, such as verse and chorus, from the audio-based music data. In the previous work, the method using self-similarity matrix is proposed. It is the matrix to convert an audio data into a suitable feature sequence, and then to compare all elements of the sequence with each other. However, the result is poor accuracy for the music with the unexpected situation. There is a lot of factor becoming the obstacle of analysis, for example, change of the tempo, noise and change of musical instrument. We propose the method to learn the music to contain their factors using Deep Belief Networks which is a kind of machine learning. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Music Structure Analysis / Deep Belief Networks / Restricted Boltzmann Machine |
Paper # | IBISML2014-89 |
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Committee | IBISML |
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Conference Date | 2015/2/26(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Adaptation of Machine Learning Method for Music Structure Analysis |
Sub Title (in English) | |
Keyword(1) | Music Structure Analysis |
Keyword(2) | Deep Belief Networks |
Keyword(3) | Restricted Boltzmann Machine |
1st Author's Name | Yoshiyuki KUSHIBE |
1st Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba() |
2nd Author's Name | Toshiaki TAKITA |
2nd Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba |
3rd Author's Name | Masatoshi HAMANAKA |
3rd Author's Affiliation | Graduate School of Medicine, Kyoto University |
4th Author's Name | Sakurako YAZAWA |
4th Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba |
5th Author's Name | Junichi HOSHINO |
5th Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba |
Date | 2015-03-05 |
Paper # | IBISML2014-89 |
Volume (vol) | vol.114 |
Number (no) | 502 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |