Paper Abstract and Keywords |
Presentation |
2023-06-23 13:50
[Poster Presentation]
Generation of colored subtitle images based on emotional information of speech utterances Fumiya Nakamura (Kobe Univ.), Ryo Aihara (Mitsubishi Electric), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ.), Yusuke Itani (Mitsubishi Electric) SP2023-11 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Conventional automatic subtitle generation systems based on speech recognition do not take into account paralinguistic information such as emotions included in speech, so it is difficult to understand the content of speech containing sarcastic expressions or polysemous words from subtitles alone. In such cases, it would be effective to generate subtitles that visualize the emotions contained in speech using fonts and colors. For this reason, we have previously studied a method to generate font subtitle images from speech recognition and speech emotion recognition results using image transformation with GAN, but it became clear that it is difficult to express complex emotions only with fonts. In this study, we propose a method to visualize emotions using not only fonts but also colors, by capturing emotions in a two-dimensional valence-activation space and creating a colormap in the emotion space based on Russell's circumplex model and Plutchik's wheel of emotions. We conducted multi-task training on three types of speech recognition, categorical emotion recognition, and valence-activation estimation using speech from the IEMOCAP dataset, and experimented with generating colored subtitles from speech using the created colormap. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
subtitle image / automatic speech recognition / speech emotion recognition / Russell's circumplex models / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 88, SP2023-11, pp. 54-59, June 2023. |
Paper # |
SP2023-11 |
Date of Issue |
2023-06-16 (SP) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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SP2023-11 |
Conference Information |
Committee |
SP IPSJ-MUS IPSJ-SLP |
Conference Date |
2023-06-23 - 2023-06-24 |
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(See Japanese page) |
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Paper Information |
Registration To |
SP |
Conference Code |
2023-06-SP-MUS-SLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Generation of colored subtitle images based on emotional information of speech utterances |
Sub Title (in English) |
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Keyword(1) |
subtitle image |
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automatic speech recognition |
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speech emotion recognition |
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Russell's circumplex models |
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1st Author's Name |
Fumiya Nakamura |
1st Author's Affiliation |
Kobe University (Kobe Univ.) |
2nd Author's Name |
Ryo Aihara |
2nd Author's Affiliation |
Mitsubishi Electric Corporation (Mitsubishi Electric) |
3rd Author's Name |
Ryoichi Takashima |
3rd Author's Affiliation |
Kobe University (Kobe Univ.) |
4th Author's Name |
Tetsuya Takiguchi |
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Kobe University (Kobe Univ.) |
5th Author's Name |
Yusuke Itani |
5th Author's Affiliation |
Mitsubishi Electric Corporation (Mitsubishi Electric) |
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Speaker |
Author-1 |
Date Time |
2023-06-23 13:50:00 |
Presentation Time |
140 minutes |
Registration for |
SP |
Paper # |
SP2023-11 |
Volume (vol) |
vol.123 |
Number (no) |
no.88 |
Page |
pp.54-59 |
#Pages |
6 |
Date of Issue |
2023-06-16 (SP) |
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