1 citations · 2 across the 4 of their papers we have counts for
4 papers
Semi-supervised Learning For Robust Speech Evaluation
Huayun Zhang, Jeremy H. M. Wong, Geyu Lin +1
Speech evaluation measures a learners oral proficiency using automatic models. Corpora for training such models often pose sparsity challenges given that there often is limited sco…
Emo-DPO: Controllable Emotional Speech Synthesis through Direct Preference Optimization
Xiaoxue Gao, Chen Zhang, Yiming Chen +2
Current emotional text-to-speech (TTS) models predominantly conduct supervised training to learn the conversion from text and desired emotion to its emotional speech, focusing on a…
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models
Perry Lam, Huayun Zhang, Nancy F. Chen +1
Neural models are known to be over-parameterized, and recent work has shown that sparse text-to-speech (TTS) models can outperform dense models. Although a plethora of sparse metho…
Multilingual Speech Evaluation: Case Studies on English, Malay and Tamil
Huayun Zhang, Ke Shi, Nancy F. Chen
Speech evaluation is an essential component in computer-assisted language learning (CALL). While speech evaluation on English has been popular, automatic speech scoring on low reso…