paper

What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model

This study is focused on understanding and quantifying the change in phoneme and prosody information encoded in the Self-Supervised …

Mu Yang, Ram C. M. C. Shekar, Okim Kang,, John H. L. Hansen

Learning ASR Pathways: A Sparse Multilingual ASR Model

Neural network pruning can be effectively applied to compress automatic speech recognition (ASR) models. However, in multilingual ASR, …

Mu Yang, Andros Tjandra, Chunxi Liu, David Zhang, Duc Le, Ozlem Kalinli

Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment

Current leading mispronunciation detection and diagnosis (MDD) systems achieve promising performance via end-to-end phoneme …

Mu Yang, Kevin Hirschi, Stephen D. Looney, Okim Kang,, John H. L. Hansen

Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis

This work presents a lifelong learning approach to train a multilingual Text-To-Speech (TTS) system, where each language was seen as an …

Mu Yang, Shaojin Ding, Tianlong Chen, Tong Wang, Zhangyang Wang

Joint Hypoglycemia Prediction and Glucose Forecasting via Deep Multi-task Learning

We present a multitask learning approach to the problem of hypoglycemia (HG) prediction in diabetes. The approach is based on a …

Mu Yang, Darpit Dave, Madhav Erraguntla, Gerard L. Cote, Ricardo Gutierrez-Osuna

EventPlus: A Temporal Event Understanding Pipeline

We present EventPlus, a temporal event understanding pipeline that integrates various state-of-the-art event understanding components …

Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, Nanyun Peng

A CNN-based Active Learning Framework to Identify Mycobacteria in Digitized Ziehl-Neelsen Stained Human Tissues

Tuberculosis is the most common mycobacterial disease that affects humans worldwide. Rapid and reliable diagnosis of mycobacteria is …

Mu Yang, Karolina Nurzynska, Ann E. Walts, Arkadiusz Gertych

Biomedical Event Extraction with Hierarchical Knowledge Graphs

Biomedical event extraction is critical in understanding biomolecular interactions described in scientific corpus. One of the main …

Kung-Hsiang Huang, Mu Yang, Nanyun Peng

Deep Structured Neural Network for Event Temporal Relation Extraction

We propose a novel deep structured learning framework for event temporal relation extraction. The model consists of 1) a recurrent …

Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph Weischedel, Nanyun Peng

Spoken Language Intent Detection using Confusion2Vec

Decoding speaker’s intent is a crucial part of spoken language understanding (SLU). The presence of noise or errors in the text …

Prashanth G. Shivakumar, Mu Yang, Panayiotis Georgiou

Spoken Language Intent Detection using Confusion2Vec