Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition
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Cited by 5 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. From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
2. Stream-based Active Learning for Speech Emotion Recognition via Hybrid Data Selection and Continuous Learning;Lecture Notes in Computer Science;2024
3. Cooperative Learning for Personalized Context-Aware Pain Assessment From Wearable Data;IEEE Journal of Biomedical and Health Informatics;2023-11
4. Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System*;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04
5. An Efficient Framework for Constructing Speech Emotion Corpus Based on Integrated Active Learning Strategies;IEEE Transactions on Affective Computing;2022-10-01
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