Paper Abstract and Keywords |
Presentation |
2018-02-15 15:45
A Note on Estimation of Users' Emotion Evoked During Listening to Music
-- Performance Improvement Based on Deep Learning Method -- Hakusyou Dan, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper presents a method that estimates users’ emotion evoked during listening to music. In our method, we use audio features from the music data and Heart Rate Variability (HRV) features from the listening users and then calculate their canonical features. Next, we use the canonical features to build a classifier for the emotion estimation. Note that the audio features are extracted from the middle layer of the convolutional neural networks. Furthermore, the HRV features are extracted from the middle layer of the recurrent neural networks. We expect that by using the canonical features, more successful classification become realistic compared to the conventional methods. In the experiments, we compare the results of using the canonical features and those of several methods. In addition, the validity of the proposed method is confirmed. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
music / emotion estimation / audio features / HRV features / deep learning / / / |
Reference Info. |
IEICE Tech. Rep. |
Paper # |
|
Date of Issue |
|
ISSN |
|
Download PDF |
|
Conference Information |
Committee |
ITS IE ITE-MMS ITE-HI ITE-ME ITE-AIT |
Conference Date |
2018-02-15 - 2018-02-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image Processing, etc. |
Paper Information |
Registration To |
ITE-ME |
Conference Code |
2018-02-ITS-IE-MMS-HI-ME-AIT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Note on Estimation of Users' Emotion Evoked During Listening to Music |
Sub Title (in English) |
Performance Improvement Based on Deep Learning Method |
Keyword(1) |
music |
Keyword(2) |
emotion estimation |
Keyword(3) |
audio features |
Keyword(4) |
HRV features |
Keyword(5) |
deep learning |
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Hakusyou Dan |
1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
2nd Author's Name |
Takahiro Ogawa |
2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
3rd Author's Name |
Miki Haseyama |
3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
4th Author's Name |
|
4th Author's Affiliation |
() |
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 |
2018-02-15 15:45:00 |
Presentation Time |
15 minutes |
Registration for |
ITE-ME |
Paper # |
|
Volume (vol) |
vol.117 |
Number (no) |
|
Page |
|
#Pages |
|
Date of Issue |
|