A contrastive framework for neural text generation

Y Su, T Lan, Y Wang, D Yogatama… - Advances in Neural …, 2022 - proceedings.neurips.cc
Text generation is of great importance to many natural language processing applications.
However, maximization-based decoding methods (eg, beam search) of neural language …

Clapspeech: Learning prosody from text context with contrastive language-audio pre-training

Z Ye, R Huang, Y Ren, Z Jiang, J Liu, J He… - arxiv preprint arxiv …, 2023 - arxiv.org
Improving text representation has attracted much attention to achieve expressive text-to-
speech (TTS). However, existing works only implicitly learn the prosody with masked token …