Assistant Professor Naruephorn Tengtrairat
Assistant Professor Naruephorn Tengtrairat
Software Engineering, Payap University
Verified email at - Homepage
Cited by
Cited by
Single-channel blind separation using pseudo-stereo mixture and complex 2-D histogram
N Tengtrairat, B Gao, WL Woo, SS Dlay
IEEE transactions on neural networks and learning systems 24 (11), 1722-1735, 2013
Online noisy single-channel source separation using adaptive spectrum amplitude estimator and masking
N Tengtrairat, WL Woo, SS Dlay, B Gao
IEEE Transactions on Signal Processing 64 (7), 1881-1895, 2016
Single-channel separation using underdetermined blind autoregressive model and least absolute deviation
N Tengtrairat, WL Woo
Neurocomputing 147, 412-425, 2015
Extension of DUET to single-channel mixing model and separability analysis
N Tengtrairat, WL Woo
Signal Processing 96, 261-265, 2014
Blind 2D signal direction for limited-sensor space using maximum likelihood estimation
N Tengtrairat
Asia-Pacific Journal of Science and Technology 22 (2), 1-6, 2017
Single-channel signal separation using spectral basis correlation with sparse nonnegative tensor factorization
P Parathai, N Tengtrairat, WL Woo, B Gao
Circuits, Systems, and Signal Processing, 1-31, 2019
Blind 3D sound source direction using stereo microphones based on time-delay estimation and polar-pattern histogram
N Tengtrairat, WL Woo
2017 2nd International Conference on Information Technology (INCIT), 1-6, 2017
Sound events separation and recognition using LiSparse complex nonnegative matrix factorization and multi-class mean supervector support vector machine
P Parathai, N Tengtrairat, WL Woo
2017 2nd International Conference on Information Technology (INCIT), 1-6, 2017
Performance improvement in single-channel blind separation with pseudo-stereo mixture using cochleagram representation based masks
Y Yuan, N Tengtrairat, WL Woo, SS Dlay
IET Digital Library, 2015
Single channel signal separation using pseudo-stereo model and time-freqency masking
N Tengtrairat
Newcastle University, 2013
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