most citedRecent Progress in the CUHK Dysarthric Speech Recognition System

93 citations · 178 across the 24 of their papers we have counts for

collaborators

7 papers

cs.SD2022

Speech Enhancement with Fullband-Subband Cross-Attention Network

Jun Chen, Wei Rao, Zilin Wang +5

FullSubNet has shown its promising performance on speech enhancement by utilizing both fullband and subband information. However, the relationship between fullband and subband in F…

cs.SD20222 cited

Towards High-Quality Neural TTS for Low-Resource Languages by Learning Compact Speech Representations

Haohan Guo, Fenglong Xie, Xixin Wu +2

This paper aims to enhance low-resource TTS by reducing training data requirements using compact speech representations. A Multi-Stage Multi-Codebook (MSMC) VQ-GAN is trained to le…

eess.AS2022

Disentangled Speech Representation Learning for One-Shot Cross-lingual Voice Conversion Using -VAE

Hui Lu, Disong Wang, Xixin Wu +3

We propose an unsupervised learning method to disentangle speech into content representation and speaker identity representation. We apply this method to the challenging one-shot c…

cs.CL2022

Robust Unsupervised Cross-Lingual Word Embedding using Domain Flow Interpolation

Liping Tang, Zhen Li, Zhiquan Luo +1

This paper investigates an unsupervised approach towards deriving a universal, cross-lingual word embedding space, where words with similar semantics from different languages are c…

cs.SD2022

Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection

Xuanjun Chen, Haibin Wu, Helen Meng +2

Audio-visual active speaker detection (AVASD) is well-developed, and now is an indispensable front-end for several multi-modal applications. However, to the best of our knowledge,…

eess.AS20221 cited

Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks

Shoukang Hu, Xurong Xie, Mingyu Cui +6

State-of-the-art automatic speech recognition (ASR) system development is data and computation intensive. The optimal design of deep neural networks (DNNs) for these systems often…