| Paper Abstract and Keywords |
| Presentation |
2021-03-08 13:30
Visualization of song collections for understanding of the relationship between metadata and features
Midori Watanabe, Narumi Kuroko (Ochanomizu Univ.), Hayato Ohya (RecoChoku Co., Ltd.), Takayuki Itoh (Ochanomizu Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
When performing automatic classification and recommendation for music, there exists a problem that it is not clear which metadata and features of songs should be selected, and it is difficult how to discuss the usefulness of each element.Therefore, we tackle the visualization for songs and its metadata to examine the effective factors (metadata, acoustic features, machine learning methods and visualization methods) for music classification tasks and to discover new relationships between acoustic features and metadata.In this study, we discuss the result of the visualization about acoustic features and metadata distributions calculated from any group of songs using music signal processing tools and machine learning methods.And then, we show some experimental results using metadata like release date and composer name and acoustic features calculated from tempo, average value of the sound volume, and machine learning methods. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Music Information Processing，Visualization，Music Classification / Visualization / Music Classification / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 45, pp. 223-226, March 2021. |
| Paper # |
|
| Date of Issue |
2021-03-01 (AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
AIT IIEEJ AS CG-ARTS |
| Conference Date |
2021-03-08 - 2021-03-08 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Expressive Japan 2021 |
| Paper Information |
| Registration To |
AS |
| Conference Code |
2021-03-AIT-IIEEJ-AS-ARTS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Visualization of song collections for understanding of the relationship between metadata and features |
| Sub Title (in English) |
|
| Keyword(1) |
Music Information Processing，Visualization，Music Classification |
| Keyword(2) |
Visualization |
| Keyword(3) |
Music Classification |
| Keyword(4) |
|
| Keyword(5) |
|
| Keyword(6) |
|
| Keyword(7) |
|
| Keyword(8) |
|
| 1st Author's Name |
Midori Watanabe |
| 1st Author's Affiliation |
Ochanomizu University (Ochanomizu Univ.) |
| 2nd Author's Name |
Narumi Kuroko |
| 2nd Author's Affiliation |
Ochanomizu University (Ochanomizu Univ.) |
| 3rd Author's Name |
Hayato Ohya |
| 3rd Author's Affiliation |
RecoChoku Co., Ltd. (RecoChoku Co., Ltd.) |
| 4th Author's Name |
Takayuki Itoh |
| 4th Author's Affiliation |
Ochanomizu University (Ochanomizu Univ.) |
| 5th Author's Name |
|
| 5th Author's Affiliation |
() |
| 6th Author's Name |
|
| 6th Author's Affiliation |
() |
| 7th Author's Name |
|
| 7th Author's Affiliation |
() |
| 8th Author's Name |
|
| 8th Author's Affiliation |
() |
| 9th Author's Name |
|
| 9th Author's Affiliation |
() |
| 10th Author's Name |
|
| 10th Author's Affiliation |
() |
| 11th Author's Name |
|
| 11th Author's Affiliation |
() |
| 12th Author's Name |
|
| 12th Author's Affiliation |
() |
| 13th Author's Name |
|
| 13th Author's Affiliation |
() |
| 14th Author's Name |
|
| 14th Author's Affiliation |
() |
| 15th Author's Name |
|
| 15th Author's Affiliation |
() |
| 16th Author's Name |
|
| 16th Author's Affiliation |
() |
| 17th Author's Name |
|
| 17th Author's Affiliation |
() |
| 18th Author's Name |
|
| 18th Author's Affiliation |
() |
| 19th Author's Name |
|
| 19th Author's Affiliation |
() |
| 20th Author's Name |
|
| 20th Author's Affiliation |
() |
| Speaker |
Author-1 |
| Date Time |
2021-03-08 13:30:00 |
| Presentation Time |
75 minutes |
| Registration for |
AS |
| Paper # |
AIT2021-95 |
| Volume (vol) |
vol.45 |
| Number (no) |
no.8 |
| Page |
pp.223-226 |
| #Pages |
4 |
| Date of Issue |
2021-03-01 (AIT) |
|