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Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments

Computer speech & language, 2017-11, Vol.46, p.388-400

2017

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Context Adaptive Neural Network Based Acoustic Models for Rapid Adaptation

IEEE/ACM transactions on audio, speech, and language processing, 2018-05, Vol.26 (5), p.895-908

2018

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A Neural Network-Based Nonlinear Acoustic Echo Canceller

IEEE signal processing letters, 2019-12, Vol.26 (12), p.1827-1831

2019

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Online environmental adaptation of CNN-based acoustic models using spatial diffuseness features

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.4875-4879

2017

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The NLMS Algorithm with Time-Variant Optimum Stepsize Derived from a Bayesian Network Perspective

IEEE signal processing letters, 2015-11, Vol.22 (11), p.1874-1878

2015

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Adversarial robustness improvement for X-ray bone segmentation using synthetic data created from computed tomography scans

Scientific reports, 2024-10, Vol.14 (1), p.25813, Article 25813

2024

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Artificial Intelligence to Assess Tracheal Tubes and Central Venous Catheters in Chest Radiographs Using an Algorithmic Approach With Adjustable Positioning Definitions

Investigative radiology, 2024-04

2024

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Significance-aware filtering for nonlinear acoustic echo cancellation

EURASIP journal on advances in signal processing, 2016-11, Vol.2016 (1), p.1-18, Article 113

2016

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Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology Coverage

Investigative radiology, 2022-02, Vol.57 (2), p.90-98

2022

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Nonradiology Health Care Professionals Significantly Benefit From AI Assistance in Emergency-Related Chest Radiography Interpretation

Chest, 2024-07, Vol.166 (1), p.157-170

2024

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Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training

European radiology, 2021-10, Vol.31 (10), p.7888-7900

2021

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Improved Pectoral Muscle Segmentation in Mammograms through Regression-Based Deep Learning and Knowledge Distillation

2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024, p.1-5

2024

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Nonlinear Acoustic Echo Cancellation Using Elitist Resampling Particle Filter

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.236-240

2018

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Estimating Parameters of Nonlinear Systems Using the Elitist Particle Filter Based on Evolutionary Strategies

IEEE/ACM transactions on audio, speech, and language processing, 2018-03, Vol.26 (3), p.595-608

2018

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An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study

JAMA network open, 2021-12, Vol.4 (12), p.e2141096-e2141096

2021

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A Bayesian network approach to linear and nonlinear acoustic echo cancellation

EURASIP journal on advances in signal processing, 2015-11, Vol.2015 (1), p.1-11, Article 98

2015

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Spatial diffuseness features for DNN-based speech recognition in noisy and reverberant environments

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.4380-4384

2015

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A Bayesian view on acoustic model-based techniques for robust speech recognition

EURASIP Journal on Advances in Signal Processing, 2015-12, Vol.2015 (1), p.1-16, Article 103

2015

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Hybrid Particle Filtering Based on an Elitist Resampling Scheme

2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2018, p.257-261

2018

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Significance-aware Hammerstein group models for nonlinear acoustic echo cancellation

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.5934-5938

2014

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Exploiting Microphone Array Symmetry for Robust Two-Dimensional Polynomial Beamforming

2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC), 2018, p.486-490

2018

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The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.1315-1319

2014

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Feedback connection for deep neural network-based acoustic modeling

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.5240-5244

2017

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Wave-domain loudspeaker signal decorrelation for system identification in multichannel audio reproduction scenarios

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.605-609

2013

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A new uncertainty decoding scheme for DNN-HMM hybrid systems with multichannel speech enhancement

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5760-5764

2016

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Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments

Context Adaptive Neural Network Based Acoustic Models for Rapid Adaptation

A Neural Network-Based Nonlinear Acoustic Echo Canceller

Online environmental adaptation of CNN-based acoustic models using spatial diffuseness features

The NLMS Algorithm with Time-Variant Optimum Stepsize Derived from a Bayesian Network Perspective

Adversarial robustness improvement for X-ray bone segmentation using synthetic data created from computed tomography scans

Artificial Intelligence to Assess Tracheal Tubes and Central Venous Catheters in Chest Radiographs Using an Algorithmic Approach With Adjustable Positioning Definitions

Significance-aware filtering for nonlinear acoustic echo cancellation

Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology Coverage

Nonradiology Health Care Professionals Significantly Benefit From AI Assistance in Emergency-Related Chest Radiography Interpretation

Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training

Improved Pectoral Muscle Segmentation in Mammograms through Regression-Based Deep Learning and Knowledge Distillation

Nonlinear Acoustic Echo Cancellation Using Elitist Resampling Particle Filter

Estimating Parameters of Nonlinear Systems Using the Elitist Particle Filter Based on Evolutionary Strategies

An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study

A Bayesian network approach to linear and nonlinear acoustic echo cancellation

Spatial diffuseness features for DNN-based speech recognition in noisy and reverberant environments

A Bayesian view on acoustic model-based techniques for robust speech recognition

Hybrid Particle Filtering Based on an Elitist Resampling Scheme

Significance-aware Hammerstein group models for nonlinear acoustic echo cancellation

Exploiting Microphone Array Symmetry for Robust Two-Dimensional Polynomial Beamforming

The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation

Feedback connection for deep neural network-based acoustic modeling

Wave-domain loudspeaker signal decorrelation for system identification in multichannel audio reproduction scenarios

A new uncertainty decoding scheme for DNN-HMM hybrid systems with multichannel speech enhancement

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