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Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations
HuBERT-based CAE model achieves the best results for word discrimination in all languages, despite Hu-BERT being pre-trained on English only.
SCORE: Self-supervised Correspondence Fine-tuning for Improved Content Representations
These task-specific representations are used for robust performance on various downstream tasks by fine-tuning on the labelled data.
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