GitHub

Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions

Large-scale pre-trained language models have been shown to be helpful in improving the naturalness of text-to-speech (TTS) models by enabling them to produce more naturalistic prosodic patterns.
GitHub

sparse-transfer-learning-bert-python.md

This page explains how to fine-tune a pre-sparsified BERT model onto a downstream dataset with SparseML's `Trainer`. ## **Sparse Transfer Learning Overview** Sparse Transfer Learning is quite similiar ...
IEEE

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. It includes even more use cases, such as casual language analysis ...