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Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a prediction model development and validation study

BMJ open, 2021-01, Vol.11 (1), p.e041139-e041139

2021

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Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learning

Scientific reports, 2021-05, Vol.11 (1), p.10643-10643, Article 10643

2021

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Three‐dimensional wideband absorbance immittance findings in young adults with large vestibular aqueduct syndrome

Laryngoscope investigative otolaryngology, 2023-02, Vol.8 (1), p.236-244

2023

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Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A Meta‐Analysis

The Laryngoscope, 2023-04, Vol.133 (4), p.732-741

2023

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Contributions and limitations of using machine learning to predict noise-induced hearing loss

International archives of occupational and environmental health, 2021-07, Vol.94 (5), p.1097-1111

2021

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Reinforcement Learning for Multiple-Input Multiple-Output Control in Metal Additive Manufacturing

2023 IEEE International Conference on Networking, Sensing and Control (ICNSC), 2023, Vol.1, p.1-6

2023

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Source separation using regularized NMF with MMSE estimates under GMM priors with online learning for the uncertainties

Digital signal processing, 2014-06, Vol.29, p.20-34

2014

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Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks

IEEE/ACM transactions on audio, speech, and language processing, 2017-09, Vol.25 (9), p.1773-1783

2017

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Deep neural networks for single channel source separation

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.3734-3738

2014

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Raw Multi-Channel Audio Source Separation using Multi- Resolution Convolutional Auto-Encoders

2018 26th European Signal Processing Conference (EUSIPCO), 2018, p.1577-1581

2018

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Regularized nonnegative matrix factorization using Gaussian mixture priors for supervised single channel source separation

Computer speech & language, 2013-05, Vol.27 (3), p.746-762

2013

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An advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups using 3D wideband acoustic immittance

Biomedical signal processing and control, 2024-01, Vol.87, p.105525, Article 105525

2024

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Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks

2019 27th European Signal Processing Conference (EUSIPCO), 2019, p.1-5

2019

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Regularized nonnegative matrix factorization using Gaussian mixture priors for supervised single channel source separation: Special Issue on Speech Separation and Recognition in Multisource Environments

Computer speech & language, 2013, Vol.27 (3), p.746-762

2013

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BSS Eval or Peass? Predicting the Perception of Singing-Voice Separation

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.596-600

2018

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Single channel audio source separation using convolutional denoising autoencoders

2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017, p.1265-1269

2017

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Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation

Latent Variable Analysis and Signal Separation, 2018, p.340-350

2018

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Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks

Latent Variable Analysis and Signal Separation, 2017, Vol.10169, p.236-246

2017

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Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors

2010 20th International Conference on Pattern Recognition, 2010, p.4573-4576

2010

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Psychophysical Evaluation of Audio Source Separation Methods

Latent Variable Analysis and Signal Separation, 2017, Vol.10169, p.211-221

2017

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Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation

2020 28th European Signal Processing Conference (EUSIPCO), 2021, p.261-265

2021

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Single channel speech music separation using nonnegative matrix factorization and spectral masks

2011 17th International Conference on Digital Signal Processing (DSP), 2011, p.1-6

2011

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Spectro-temporal post-smoothing in NMF based single-channel source separation

2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO), 2012, p.584-588

2012

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Evaluation of audio source separation models using hypothesis-driven non-parametric statistical methods

2016 24th European Signal Processing Conference (EUSIPCO), 2016, p.1763-1767

2016

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Initialization of nonnegative matrix factorization dictionaries for single channel source separation

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013, p.1-4

2013

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Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a prediction model development and validation study

Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learning

Three‐dimensional wideband absorbance immittance findings in young adults with large vestibular aqueduct syndrome

Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A Meta‐Analysis

Contributions and limitations of using machine learning to predict noise-induced hearing loss

Reinforcement Learning for Multiple-Input Multiple-Output Control in Metal Additive Manufacturing

Source separation using regularized NMF with MMSE estimates under GMM priors with online learning for the uncertainties

Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks

Deep neural networks for single channel source separation

Raw Multi-Channel Audio Source Separation using Multi- Resolution Convolutional Auto-Encoders

Regularized nonnegative matrix factorization using Gaussian mixture priors for supervised single channel source separation

An advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups using 3D wideband acoustic immittance

Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks

Regularized nonnegative matrix factorization using Gaussian mixture priors for supervised single channel source separation: Special Issue on Speech Separation and Recognition in Multisource Environments

BSS Eval or Peass? Predicting the Perception of Singing-Voice Separation

Single channel audio source separation using convolutional denoising autoencoders

Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation

Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks

Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors

Psychophysical Evaluation of Audio Source Separation Methods

Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation

Single channel speech music separation using nonnegative matrix factorization and spectral masks

Spectro-temporal post-smoothing in NMF based single-channel source separation

Evaluation of audio source separation models using hypothesis-driven non-parametric statistical methods

Initialization of nonnegative matrix factorization dictionaries for single channel source separation

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