On the Use of Self-Supervised Pre-Trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition-Reference-Cited by-同舟云学术

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On the Use of Self-Supervised Pre-Trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition

Published:2021-01-19 Issue: Volume: Page:
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Container-title:2021 IEEE Spoken Language Technology Workshop (SLT)
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Author:

Macary Manon,Tahon Marie,Esteve Yannick,Rousseau Anthony

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9383468/9383452/09383456.pdf?arnumber=9383456

Cited by 34 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. Dimensional Speech Emotion Recognition from Bimodal Features;Anais do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2024);2024-06-25

2. A high speed inference architecture for multimodal emotion recognition based on sparse cross modal encoder;Journal of King Saud University - Computer and Information Sciences;2024-06

3. Improving Domain Generalization in Speech Emotion Recognition with Whisper;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Emotion Recognition from Speech – an LSTM approach with the Tess Dataset;2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT);2024-03-15

5. Multilingual Emotion Recognition from Continuous Speech Using Transfer Learning;Lecture Notes in Electrical Engineering;2024

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