164 citations · 760 across the 31 of their papers we have counts for
6 papers · 1 filter
Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies
Alexander H. Liu, Yu-An Chung, James Glass
Self-supervised speech representations have been shown to be effective in a variety of speech applications. However, existing representation learning methods generally rely on the…
Similarity Analysis of Self-Supervised Speech Representations
Yu-An Chung, Yonatan Belinkov, James Glass
Self-supervised speech representation learning has recently been a prosperous research topic. Many algorithms have been proposed for learning useful representations from large-scal…
SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding
Yu-An Chung, Chenguang Zhu, Michael Zeng
Spoken language understanding (SLU) requires a model to analyze input acoustic signal to understand its linguistic content and make predictions. To boost the models' performance, v…
Vector-Quantized Autoregressive Predictive Coding
Yu-An Chung, Hao Tang, James Glass
Autoregressive Predictive Coding (APC), as a self-supervised objective, has enjoyed success in learning representations from large amounts of unlabeled data, and the learned repres…
Improved Speech Representations with Multi-Target Autoregressive Predictive Coding
Yu-An Chung, James Glass
Training objectives based on predictive coding have recently been shown to be very effective at learning meaningful representations from unlabeled speech. One example is Autoregres…
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification
Wei-Hung Weng, Yu-An Chung, Schrasing Tong
In the era of clinical information explosion, a good strategy for clinical text summarization is helpful to improve the clinical workflow. The ideal summarization strategy can pres…