2002 Fiscal Year Final Research Report Summary
A Global Network with KANSEI-based filtering
| Project/Area Number |
11558036
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 展開研究 |
|---|
| Research Field |
Intelligent informatics
|
|---|
| Research Institution | Tokyo Institute of Technology |
|---|
Principal Investigator |
NUMAO Masayuki Tokyo Institute of Technology, Graduate School of Infomation Science and Engineering, Associate Professor, 大学院・情報理工学研究科, 助教授 (30198551)
|
|---|
| Project Period (FY) |
1999 – 2002
|
| Keywords | Agent / Machine Learning / Computer Network / Artificial Intelligence / Information Gathering / Authoring / Word of Mouth / Music |
|---|
| Research Abstract |
We propose a method to locate relations and constraints between a music score and its impressions, by which we show that machine learning techniques may provide a powerful tool for composing music and analyzing human feelings. We examine, its generality by modifying some arrangements to provide the subjects with a specified impression. This project introduces some user interfaces, which are capable of predicting feelings and creating new objects based on seed structures, such as spectra and their transition for sounds that have been extracted and are perceived as favorable by the test subject.
|
