117 citations · 286 across the 55 of their papers we have counts for
21 papers · 1 filter
Instrumented shoulder functional assessment using inertial measurement units for frozen shoulder
Ting-Yang Lu, Kai-Chun Liu, Chia-Yeh Hsieh +3
Frozen shoulder (FS) is a shoulder condition that leads to pain and loss of shoulder range of motion. FS patients have difficulties in independently performing daily activities. In…
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
Hsin-Yi Lin, Huan-Hsin Tseng, Xugang Lu +1
This paper presents a novel discriminator-constrained optimal transport network (DOTN) that performs unsupervised domain adaptation for speech enhancement (SE), which is an essenti…
OSSEM: one-shot speaker adaptive speech enhancement using meta learning
Cheng Yu, Szu-Wei Fu, Tsun-An Hsieh +2
Although deep learning (DL) has achieved notable progress in speech enhancement (SE), further research is still required for a DL-based SE system to adapt effectively and efficient…
HASA-net: A non-intrusive hearing-aid speech assessment network
Hsin-Tien Chiang, Yi-Chiao Wu, Cheng Yu +4
Without the need of a clean reference, non-intrusive speech assessment methods have caught great attention for objective evaluations. Recently, deep neural network (DNN) models hav…
InQSS: a speech intelligibility and quality assessment model using a multi-task learning network
Yu-Wen Chen, Yu Tsao
Speech intelligibility and quality assessment models are essential tools for researchers to evaluate and improve speech processing models. However, only a few studies have investig…
Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features
Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen +3
In this study, we propose a cross-domain multi-objective speech assessment model called MOSA-Net, which can estimate multiple speech assessment metrics simultaneously. Experimental…