A new 2.8-million-word benchmark from LibriTTS with automatic prominence labels, on which fine-tuned BERT outperforms BiLSTM, CRF, SVM, and majority baselines in 2-way and 3-way prediction.
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Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations
A new 2.8-million-word benchmark from LibriTTS with automatic prominence labels, on which fine-tuned BERT outperforms BiLSTM, CRF, SVM, and majority baselines in 2-way and 3-way prediction.