164 citations · 760 across the 31 of their papers we have counts for
5 papers · 1 filter
SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders
Peter J. Liu, Yu-An Chung, Jie Ren
We propose an end-to-end neural model for zero-shot abstractive text summarization of paragraphs, and introduce a benchmark task, ROCSumm, based on ROCStories, a subset for which w…
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Yu-An Chung, James Glass
Learning meaningful and general representations from unannotated speech that are applicable to a wide range of tasks remains challenging. In this paper we propose to use autoregres…
Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models
Wei Fang, Yu-An Chung, James Glass
Modern text-to-speech (TTS) systems are able to generate audio that sounds almost as natural as human speech. However, the bar of developing high-quality TTS systems remains high s…
An Unsupervised Autoregressive Model for Speech Representation Learning
Yu-An Chung, Wei-Ning Hsu, Hao Tang +1
This paper proposes a novel unsupervised autoregressive neural model for learning generic speech representations. In contrast to other speech representation learning methods that a…
Unsupervised Clinical Language Translation
Wei-Hung Weng, Yu-An Chung, Peter Szolovits
As patients' access to their doctors' clinical notes becomes common, translating professional, clinical jargon to layperson-understandable language is essential to improve patient-…