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Emad M. Grais
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Journal Articles
- 2024
- [j4]Emad M. Grais, Leixin Nie, Bin Zou, Xiaoya Wang, Tariq Rahim, Jing Sun, Shuna Li, Jie Wang, Wen Jiang, Yuexin Cai, Haidi Yang, Fei Zhao:
An advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups using 3D wideband acoustic immittance. Biomed. Signal Process. Control. 87(Part A): 105525 (2024) - 2017
- [j3]Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley:
Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 25(9): 1773-1783 (2017) - 2014
- [j2]Emad M. Grais, Hakan Erdogan:
Source separation using regularized NMF with MMSE estimates under GMM priors with online learning for the uncertainties. Digit. Signal Process. 29: 20-34 (2014) - 2013
- [j1]Emad M. Grais, Hakan Erdogan:
Regularized nonnegative matrix factorization using Gaussian mixture priors for supervised single channel source separation. Comput. Speech Lang. 27(3): 746-762 (2013)
Conference and Workshop Papers
- 2023
- [c23]Emad M. Grais, Scott V. Notley, George Panoutsos:
Reinforcement Learning for Multiple-Input Multiple-Output Control in Metal Additive Manufacturing. ICNSC 2023: 1-6 - 2020
- [c22]Emad M. Grais, Fei Zhao, Mark D. Plumbley:
Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation. EUSIPCO 2020: 261-265 - 2019
- [c21]Emad M. Grais, Hagen Wierstorf, Dominic Ward, Russell Mason, Mark D. Plumbley:
Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks. EUSIPCO 2019: 1-5 - 2018
- [c20]Emad M. Grais, Dominic Ward, Mark D. Plumbley:
Raw Multi-Channel Audio Source Separation using Multi- Resolution Convolutional Auto-Encoders. EUSIPCO 2018: 1577-1581 - [c19]Emad M. Grais, Hagen Wierstorf, Dominic Ward, Mark D. Plumbley:
Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation. LVA/ICA 2018: 340-350 - [c18]Dominic Ward, Hagen Wierstorf, Russell D. Mason, Emad M. Grais, Mark D. Plumbley:
BSS Eval or Peass? Predicting the Perception of Singing-Voice Separation. ICASSP 2018: 596-600 - 2017
- [c17]Emad M. Grais, Mark D. Plumbley:
Single channel audio source separation using convolutional denoising autoencoders. GlobalSIP 2017: 1265-1269 - [c16]Andrew J. R. Simpson, Gerard Roma, Emad M. Grais, Russell D. Mason, Christopher Hummersone, Mark D. Plumbley:
Psychophysical Evaluation of Audio Source Separation Methods. LVA/ICA 2017: 211-221 - [c15]Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley:
Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks. LVA/ICA 2017: 236-246 - 2016
- [c14]Andrew J. R. Simpson, Gerard Roma, Emad M. Grais, Russell D. Mason, Chris Hummersone, Antoine Liutkus, Mark D. Plumbley:
Evaluation of audio source separation models using hypothesis-driven non-parametric statistical methods. EUSIPCO 2016: 1763-1767 - [c13]Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley:
Combining Mask Estimates for Single Channel Audio Source Separation Using Deep Neural Networks. INTERSPEECH 2016: 3339-3343 - 2014
- [c12]Emad M. Grais, Mehmet Umut Sen, Hakan Erdogan:
Deep neural networks for single channel source separation. ICASSP 2014: 3734-3738 - 2013
- [c11]Emad M. Grais, Hakan Erdogan:
Discriminative nonnegative dictionary learning using cross-coherence penalties for single channel source separation. INTERSPEECH 2013: 808-812 - [c10]Emad M. Grais, Hakan Erdogan:
Spectro-temporal post-enhancement using MMSE estimation in NMF based single-channel source separation. INTERSPEECH 2013: 3279-3283 - [c9]Emad M. Grais, Hakan Erdogan:
Initialization of nonnegative matrix factorization dictionaries for single channel source separation. SIU 2013: 1-4 - 2012
- [c8]Emad M. Grais, Hakan Erdogan:
Spectro-temporal post-smoothing in NMF based single-channel source separation. EUSIPCO 2012: 584-588 - [c7]Emad M. Grais, Hakan Erdogan:
Gaussian Mixture Gain Priors for Regularized Nonnegative Matrix Factorization in Single-Channel Source Separation. INTERSPEECH 2012: 1520-1523 - [c6]Emad M. Grais, Hakan Erdogan:
Hidden Markov Models as Priors for Regularized Nonnegative Matrix Factorization in Single-Channel Source Separation. INTERSPEECH 2012: 1536-1539 - [c5]Emad M. Grais, Ibrahim Saygin Topkaya, Hakan Erdogan:
Audio-visual speech recognition with background music using single-channel source separation. SIU 2012: 1-4 - 2011
- [c4]Emad M. Grais, Hakan Erdogan:
Single channel speech music separation using nonnegative matrix factorization and spectral masks. DSP 2011: 1-6 - [c3]Emad M. Grais, Hakan Erdogan:
Adaptation of Speaker-Specific Bases in Non-Negative Matrix Factorization for Single Channel Speech-Music Separation. INTERSPEECH 2011: 569-572 - [c2]Emad M. Grais, Hakan Erdogan:
Single Channel Speech Music Separation Using Nonnegative Matrix Factorization with Sliding Windows and Spectral Masks. INTERSPEECH 2011: 1773-1776 - 2010
- [c1]Hakan Erdogan, Emad M. Grais:
Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors. ICPR 2010: 4573-4576
Informal and Other Publications
- 2021
- [i9]Emad M. Grais, Xiaoya Wang, Jie Wang, Fei Zhao, Wen Jiang, Yuexin Cai, Lifang Zhang, Qingwen Lin, Haidi Yang:
Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning. CoRR abs/2103.02982 (2021) - 2019
- [i8]Emad M. Grais, Fei Zhao, Mark D. Plumbley:
Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation. CoRR abs/1910.09266 (2019) - 2018
- [i7]Emad M. Grais, Dominic Ward, Mark D. Plumbley:
Raw Multi-Channel Audio Source Separation using Multi-Resolution Convolutional Auto-Encoders. CoRR abs/1803.00702 (2018) - [i6]Emad M. Grais, Hagen Wierstorf, Dominic Ward, Russell Mason, Mark D. Plumbley:
Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks. CoRR abs/1811.00454 (2018) - 2017
- [i5]Emad M. Grais, Mark D. Plumbley:
Single Channel Audio Source Separation using Convolutional Denoising Autoencoders. CoRR abs/1703.08019 (2017) - [i4]Emad M. Grais, Hagen Wierstorf, Dominic Ward, Mark D. Plumbley:
Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation. CoRR abs/1710.11473 (2017) - 2016
- [i3]Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley:
Discriminative Enhancement for Single Channel Audio Source Separation using Deep Neural Networks. CoRR abs/1609.01678 (2016) - 2013
- [i2]Emad M. Grais, Hakan Erdogan:
Source Separation using Regularized NMF with MMSE Estimates under GMM Priors with Online Learning for The Uncertainties. CoRR abs/1302.7283 (2013) - [i1]Emad M. Grais, Mehmet Umut Sen, Hakan Erdogan:
Deep neural networks for single channel source separation. CoRR abs/1311.2746 (2013)
Coauthor Index
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