A Generalized Subspace Distribution Adaptation Framework for Cross-Corpus Speech Emotion Recognition-Reference-Cited by-同舟云学术

A Generalized Subspace Distribution Adaptation Framework for Cross-Corpus Speech Emotion Recognition

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Li Shaokai¹,Song Peng¹,Ji Liang¹,Jin Yun²,Zheng Wenming³

Affiliation:

1. Yantai University,School of Computer and Control Engineering,China

2. Jiangsu Normal University,School of Physics and Electronic Engineering,China

3. Research Center for Learning Science, Southeast University,Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10097258.pdf?arnumber=10097258

Reference29 articles.

1. Transfer Independently Together: A Generalized Framework for Domain Adaptation

2. Joint Geometrical and Statistical Alignment for Visual Domain Adaptation

3. Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies

4. Locality Preserving Joint Transfer for Domain Adaptation

5. Transfer Feature Learning with Joint Distribution Adaptation

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4. Few Shot Learning Guided by Emotion Distance for Cross-corpus Speech Emotion Recognition;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

5. Cross Corpus Speech Emotion Recognition using transfer learning and attention-based fusion of Wav2Vec2 and prosody features;Knowledge-Based Systems;2023-10