| Paper Abstract and Keywords |
| Presentation |
2022-12-16 06:40
Estimating emotional intensity in time series using speech sound features
Megumi Kawase, Minoru Nakayama (Tokyo Tech) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In order to estimate the emotion of speech utterances, deep learning models using speech features have only been able to classify the emotion of an entire utterance and estimate the intensity of the emotion. We created a model that estimates the intensity of three emotions,“ anger ”,“ joy ”, and“ sadness ”, for a single utterance, and examined its performance. The results showed that the correlation coefficient between the estimated emotional intensity and the label intensity of the speech was 0.74 for “ anger ”, 0.72 for “ sadness ”, and 0.69 for “ joy ”, which were similar to those obtained by a one-dimensional emotional intensity estimation model. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
speech / emotion / intensity / deep learning / / / / |
| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
|
| Date of Issue |
|
| ISSN |
|
| Download PDF |
|
| Conference Information |
| Committee |
HCGSYMPO |
| Conference Date |
2022-12-14 - 2022-12-16 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Onsite (Sunport Takamatsu) and Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
HCGSYMPO |
| Conference Code |
2022-12-HCGSYMPO |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Estimating emotional intensity in time series using speech sound features |
| Sub Title (in English) |
|
| Keyword(1) |
speech |
| Keyword(2) |
emotion |
| Keyword(3) |
intensity |
| Keyword(4) |
deep learning |
| Keyword(5) |
|
| Keyword(6) |
|
| Keyword(7) |
|
| Keyword(8) |
|
| 1st Author's Name |
Megumi Kawase |
| 1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Tech) |
| 2nd Author's Name |
Minoru Nakayama |
| 2nd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Tech) |
| 3rd Author's Name |
|
| 3rd Author's Affiliation |
() |
| 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 |
2022-12-16 06:40:00 |
| Presentation Time |
25 minutes |
| Registration for |
HCGSYMPO |
| Paper # |
|
| Volume (vol) |
vol. |
| Number (no) |
|
| Page |
|
| #Pages |
|
| Date of Issue |
|