Paper Abstract and Keywords |
Presentation |
2020-12-02 13:50
Multi-Modal Emotion Recognition by Integrating of Acoustic and Linguistic Features Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) NLC2020-14 SP2020-17 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, the advanced techique of deep learning has improved the performance of Speech Emotional Recognition as well as speech synthesis or speech recognition. Moreover, multi-mordal emotion recognition which integrates linguistic or facial image features with acoustic features has outperformed conventional methods as well. In this paper, we propose a method of SER by using acoustic and linguistic features at the utterance level. Firstly, speech and text emotion recognition are trained with Japanese emotional speech corpus. Then, we aim to improve accuracy by using early-fusion which fuses linguistic and acoustic features and late-fusion which fuses predicted values by each model. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Speech Emotion Recognition / Text Emotion Recognition / Multi-Modal / early-fusion / late-fusion / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 271, SP2020-17, pp. 7-12, Dec. 2020. |
Paper # |
SP2020-17 |
Date of Issue |
2020-11-25 (NLC, 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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NLC2020-14 SP2020-17 |
Conference Information |
Committee |
NLC IPSJ-NL SP IPSJ-SLP |
Conference Date |
2020-12-02 - 2020-12-03 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
SP |
Conference Code |
2020-12-NLC-NL-SP-SLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Multi-Modal Emotion Recognition by Integrating of Acoustic and Linguistic Features |
Sub Title (in English) |
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Keyword(1) |
Speech Emotion Recognition |
Keyword(2) |
Text Emotion Recognition |
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Multi-Modal |
Keyword(4) |
early-fusion |
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late-fusion |
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1st Author's Name |
Ryotaro Nagase |
1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
2nd Author's Name |
Takahiro Fukumori |
2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
3rd Author's Name |
Yoichi Yamashita |
3rd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-12-02 13:50:00 |
Presentation Time |
20 minutes |
Registration for |
SP |
Paper # |
NLC2020-14, SP2020-17 |
Volume (vol) |
vol.120 |
Number (no) |
no.270(NLC), no.271(SP) |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2020-11-25 (NLC, SP) |
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