​
Login / Signup
Pei-Wen Huang
Publication Activity (10 Years)
Years Active: 2006-2016
Publications (10 Years): 4
Top Topics
Speech Recognition Technology
Variance Reduction
Physiological Signals
Formant Frequencies
Top Venues
BioCAS
DSP
MLSP
ICASSP
</>
Publications
</>
Jen-Tzung Chien
,
Pei-Wen Huang
Variance reduction for optimization in speech recognition.
MLSP
(2016)
Jen-Tzung Chien
,
Pei-Wen Huang
,
Tan Lee
Hybrid Accelerated Optimization for Speech Recognition.
INTERSPEECH
(2016)
Shih-Ming Shan
,
Sung-Chun Tang
,
Pei-Wen Huang
,
Yu-Min Lin
,
Wei-Han Huang
,
Dar-Ming Lai
,
An-Yeu Andy Wu
Reliable PPG-based algorithm in atrial fibrillation detection.
BioCAS
(2016)
Tan Lee
,
Yuanyuan Liu
,
Pei-Wen Huang
,
Jen-Tzung Chien
,
Wang-Kong Lam
,
Yu Ting Yeung
,
Thomas K. T. Law
,
Kathy Y. S. Lee
,
Anthony Pak-Hin Kong
,
Sam-Po Law
Automatic speech recognition for acoustical analysis and assessment of cantonese pathological voice and speech.
ICASSP
(2016)
Pei-Wen Huang
,
Sung-Chun Tang
,
Yu-Min Lin
,
You-Cheng Liu
,
Wei-Jung Jou
,
Hsiao-I Jen
,
Dar-Ming Lai
,
An-Yeu Wu
Predicting stroke outcomes based on multi-modal analysis of physiological signals.
DSP
(2015)
Wei-Jung Jou
,
Pei-Wen Huang
,
Yu-Min Lin
,
Sung-Chun Tang
,
Dar-Ming Lai
,
An-Yeu Wu
A stroke severity monitoring system based on quantitative modified multiscale entropy.
BioCAS
(2014)
Pei-Wen Huang
,
Wei-Jung Jou
,
Yu-Min Lin
,
Hsiao-I Jen
,
Sung-Chun Tang
,
Dar-Ming Lai
,
An-Yeu Andy Wu
Trend-extracted MSE based on adaptive aligned EEMD with early termination scheme: Analysis of the acute stroke patients' physiological signals.
SiPS
(2014)
Chieh-Jen Wang
,
Shuk-Man Cheng
,
Lung-Hao Lee
,
Hsin-Hsi Chen
,
Wen-Shen Liu
,
Pei-Wen Huang
,
Shih-Peng Lin
NTUSocialRec: An Evaluation Dataset Constructed from Microblogs for Recommendation Applications in Social Networks.
LREC
(2012)
Pei-Wen Huang
Exploiting Corporate Governance and Common Size Analysis for Financial Distress Detecting Models.
JCIS
(2006)
Pei-Wen Huang
,
Chao-Lin Liu
Using Genetic Algorithms for Feature Selection in Predicting Financial Distresses with Support Vector Machines.
SMC
(2006)