Interpretable multimodal emotion recognition using hybrid fusion of speech and image data-Reference-Cited by-同舟云学术

Interpretable multimodal emotion recognition using hybrid fusion of speech and image data

Published:2023-09-05 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Kumar Puneet^ORCID,Malik Sarthak,Raman Balasubramanian

Funder

Ministry of Education, India

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16443-1.pdf

Reference54 articles.

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3. Chan W, Jaitly N, Le Q, Vinyals O (2016) Listen, attend and spell: a neural network for large vocabulary conversational speech recognition. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp 4960–4964

4. Dai D, Wu Z, Li R, Wu X, Jia J, Meng H (2019) Learning discriminative features from spectrograms using center loss for SER. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp 7405–7409

5. Deep Mind (2016) Wavenet: a generative model for raw audio. http://deepmind.com/blog/article/wavenet-generative-model-raw-audio. Accessed on 20 Feb 2022

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