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Doctor of Philosophy（Information Science） >
R04) (Jun.2022 - Mar.2023 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10119/18139
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| Title: | 和音、機能、調性の相互依存性を考慮した教師なし認識 |
| Authors: | 上原, 由衣 |
| Authors(alternative): | うえはら, ゆい |
| Keywords: | Unsupervised Learning
Hidden Semi-Markov Model
Neural Network
Music Harmony Analysis
Chord Segmentation
Chord Function Recognition
Tonality Recognition |
| Issue Date: | Sep-2022 |
| Description: | Supervisor: 東条 敏
先端科学技術研究科
博士 |
| Title(English): | Unsupervised Recognition of Chords, Functions, and Tonality |
| Authors(English): | UEHARA, YUI |
| Language: | eng |
| URI: | http://hdl.handle.net/10119/18139 |
| Academic Degrees and number: | 甲第1340号 |
| Degree-granting date: | 2022-09-22 |
| Degree name: | 博士(情報科学) |
| Degree-granting institutions: | 北陸先端科学技術大学院大学 |
| Appears in Collections: | D-IS. 2022年度(R04) (Jun.2022 - Mar.2023)
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Files in This Item:
| File |
Description |
Size | Format |
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| abstract.pdf | 要旨 | 55Kb | Adobe PDF | View/Open | | paper.pdf | 本文 | 4035Kb | Adobe PDF | View/Open | | summary.pdf | 内容の要旨及び論文審査の結果の要旨 | 215Kb | Adobe PDF | View/Open |
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