|
JAIST Repository >
JAIST >
Theses >
Doctor of Philosophy（Information Science） >
H29) (Jun.2017 - Mar.2018 >
Please use this identifier to cite or link to this item:
https://hdl.handle.net/10119/15326
|
| Title: | 多変量経験的モード分解を利用した音源フィルタモデルに基づく音声分析法 |
| Authors: | Surasak, Boonkla |
| Authors(alternative): | すらさっく, ぶんくら |
| Keywords: | speech analysis
source-filter model
multivariate empirical mode decomposition
noise reduction
dereverberation |
| Issue Date: | Mar-2018 |
| Description: | Supervisor: 鵜木 祐史
情報科学研究科
博士 |
| Title(English): | Speech Analysis Method Based on Source-Filter Model Using Multivariate Empirical Mode Decomposition |
| Authors(English): | Surasak, Boonkla |
| Language: | eng |
| URI: | https://hdl.handle.net/10119/15326 |
| Academic Degrees and number: | 甲第1056号 |
| Degree-granting date: | 2018-03-23 |
| 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. 2017年度(H29) (Jun.2017 - Mar.2018)
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| abstract.pdf | 英文要旨 | 88Kb | Adobe PDF | View/Open | | paper.pdf | 本文 | 8195Kb | Adobe PDF | View/Open | | summary.pdf | 内容の要旨及び論文審査の結果の要旨 | 297Kb | Adobe PDF | View/Open |
|
All items in DSpace are protected by copyright, with all rights reserved.
|
