Generalization of Self-Supervised Learning-Based Representations for Cross-Domain Speech Emotion Recognition
Author:
Affiliation:
1. The University of Texas at Dallas,Department of Electrical and Computer Engineering
2. North Carolina State University,Laboratory for Analytic Sciences
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447678.pdf?arnumber=10447678
Reference31 articles.
1. WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
2. TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech
3. w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training
4. wav2vec 2.0: A framework for self-supervised learning of speech representations;Baevski;Advances in Neural Information Processing Systems (NeurIPS 2020),2020
5. HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
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