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| Presentation | 2022-12-15 16:00 [Short Paper] An Intra- and Inter-Modality Transformer-based Fusion Model Using Multiemotional Audiovisual Features for Depression Prediction Shiyu Teng, Shurong Chai, Jiaqing Liu (Ritsumeikan Univ.), Tateyama Tomoko (Fujita Health Univ.), Xinyin Huang (Soochow Univ.), Yen-wei Chen (Ritsumeikan Univ.)  PRMU2022-42 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Depression is a prevalent mental ailment that causes many diseases all over the world. Identification of people with mental illness faces a challenge, as there is no difference between mentally ill people and normal people in physiology, and clinicians can only make a subjective diagnosis according to the relevant information of patients. Hence, it has become imperative to develop automated methods for audiovisual depression prediction. In this study, we proposed an intra- and inter-modality transformer-based fusion model to improve the depression level prediction accuracy. We evaluate our approach on the Chinese Soochow University depressive severity dataset and demonstrate that our method outperforms the existing method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Depression Prediction / Multi-Modalities / Fusion / Transformer / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 314, PRMU2022-42, pp. 54-56, Dec. 2022. | |
| Paper # | PRMU2022-42 | |
| Date of Issue | 2022-12-08 (PRMU) | |
| 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) | |
| Download PDF | PRMU2022-42 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2022-12-15 - 2022-12-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Toyama International Conference Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2022-12-PRMU |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Intra- and Inter-Modality Transformer-based Fusion Model Using Multiemotional Audiovisual Features for Depression Prediction |
| Sub Title (in English) | |
| Keyword(1) | Depression Prediction |
| Keyword(2) | Multi-Modalities |
| Keyword(3) | Fusion |
| Keyword(4) | Transformer |
| Keyword(5) | |
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| 1st Author's Name | Shiyu Teng |
| 1st Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
| 2nd Author's Name | Shurong Chai |
| 2nd Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
| 3rd Author's Name | Jiaqing Liu |
| 3rd Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
| 4th Author's Name | Tateyama Tomoko |
| 4th Author's Affiliation | Fujita Health University (Fujita Health Univ.) |
| 5th Author's Name | Xinyin Huang |
| 5th Author's Affiliation | Soochow University (Soochow Univ.) |
| 6th Author's Name | Yen-wei Chen |
| 6th Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-12-15 16:00:00 |
| Presentation Time | 10 minutes |
| Registration for | PRMU |
| Paper # | PRMU2022-42 |
| Volume (vol) | vol.122 |
| Number (no) | no.314 |
| Page | pp.54-56 |
| #Pages | 3 |
| Date of Issue | 2022-12-08 (PRMU) |
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