Multi-modal Stress Recognition Using Temporal Convolution and Recurrent Network with Positional Embedding-Reference-Cited by-同舟云学术

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Multi-modal Stress Recognition Using Temporal Convolution and Recurrent Network with Positional Embedding

Published:2021-10-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge
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Author:

Duong Anh-Quang¹,Ho Ngoc-Huynh¹,Yang Hyung-Jeong¹,Lee Guee-Sang¹,Kim Soo-Hyung¹

Affiliation:

1. Chonnam National University, Gwangju, South Korea

Funder

National Research Foundation of Korea (NRF)

Ministry of Science and ICT (MSIT)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3475957.3484453

Reference30 articles.

1. Cristian-Paul Bara Michalis Papakostas and Rada Mihalcea. 2020. A deep learning approach towards multimodal stress detection. In AffCon@ AAAI . 67--81. Cristian-Paul Bara Michalis Papakostas and Rada Mihalcea. 2020. A deep learning approach towards multimodal stress detection. In AffCon@ AAAI . 67--81.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. I Feel Stressed Out: A Mandarin Speech Stress Dataset with New Paradigm;2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2022-11-07

2. The MuSe 2022 Multimodal Sentiment Analysis Challenge;Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge;2022-10-10

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