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On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression

IEEE signal processing letters, 2020-01, Vol.27, p.1-1

2020

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Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states

NeuroImage (Orlando, Fla.), 2016-06, Vol.133, p.111-128

2016

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A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films

Scientific reports, 2019-03, Vol.9 (1), p.3840, Article 3840

2019

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An Experimental Study on Speech Enhancement Based on Deep Neural Networks

IEEE signal processing letters, 2014-01, Vol.21 (1), p.65-68

2014

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An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition

IEEE journal of selected topics in signal processing, 2017-12, Vol.11 (8), p.1289-1300

2017

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A Regression Approach to Speech Enhancement Based on Deep Neural Networks

IEEE/ACM transactions on audio, speech, and language processing, 2015-01, Vol.23 (1), p.7-19

2015

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Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression

IEEE transactions on signal processing, 2020, Vol.68, p.3411-3422

2020

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A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation

IEEE transactions on biomedical engineering, 2017-07, Vol.64 (7), p.1568-1578

2017

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Speech Enhancement Based on Teacher-Student Deep Learning Using Improved Speech Presence Probability for Noise-Robust Speech Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2019-12, Vol.27 (12), p.2080-2091

2019

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Hermitian Polynomial for Speaker Adaptation of Connectionist Speech Recognition Systems

IEEE transactions on audio, speech, and language processing, 2013-10, Vol.21 (10), p.2152-2161

2013

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A Reverberation-Time-Aware Approach to Speech Dereverberation Based on Deep Neural Networks

IEEE/ACM transactions on audio, speech, and language processing, 2017-01, Vol.25 (1), p.102-111

2017

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A Four-Stage Data Augmentation Approach to ResNet-Conformer Based Acoustic Modeling for Sound Event Localization and Detection

IEEE/ACM transactions on audio, speech, and language processing, 2023-01, Vol.31, p.1-13

2023

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A deep neural network approach to speech bandwidth expansion

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.4395-4399

2015

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A Regression Approach to Single-Channel Speech Separation Via High-Resolution Deep Neural Networks

IEEE/ACM transactions on audio, speech, and language processing, 2016-08, Vol.24 (8), p.1424-1437

2016

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A Cross-Entropy-Guided Measure (CEGM) for Assessing Speech Recognition Performance and Optimizing DNN-Based Speech Enhancement

IEEE/ACM transactions on audio, speech, and language processing, 2021, Vol.29, p.106-117

2021

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A Speaker-Dependent Approach to Separation of Far-Field Multi-Talker Microphone Array Speech for Front-End Processing in the CHiME-5 Challenge

IEEE journal of selected topics in signal processing, 2019-08, Vol.13 (4), p.827-840

2019

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A Theory on Deep Neural Network Based Vector-to-Vector Regression With an Illustration of Its Expressive Power in Speech Enhancement

IEEE/ACM transactions on audio, speech, and language processing, 2019-12, Vol.27 (12), p.1932-1943

2019

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A Vector Space Modeling Approach to Spoken Language Identification

IEEE transactions on audio, speech, and language processing, 2007-01, Vol.15 (1), p.271-284

2007

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Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2021, Vol.29, p.2617-2629

2021

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Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.3107-3111

2020

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Parametric Dependencies of Sliding Window Correlation

IEEE transactions on biomedical engineering, 2018-02, Vol.65 (2), p.254-263

2018

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A Multiobjective Learning and Ensembling Approach to High-Performance Speech Enhancement With Compact Neural Network Architectures

IEEE/ACM transactions on audio, speech, and language processing, 2018-07, Vol.26 (7), p.1185-1197

2018

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Improving non-native mispronunciation detection and enriching diagnostic feedback with DNN-based speech attribute modeling

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.6135-6139

2016

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A Gender Mixture Detection Approach to Unsupervised Single-Channel Speech Separation Based on Deep Neural Networks

IEEE/ACM transactions on audio, speech, and language processing, 2017-07, Vol.25 (7), p.1535-1546

2017

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Using Generalized Gaussian Distributions to Improve Regression Error Modeling for Deep Learning-Based Speech Enhancement

IEEE/ACM transactions on audio, speech, and language processing, 2019-12, Vol.27 (12), p.1919-1931

2019

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On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression

Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states

A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films

An Experimental Study on Speech Enhancement Based on Deep Neural Networks

An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition

A Regression Approach to Speech Enhancement Based on Deep Neural Networks

Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression

A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation

Speech Enhancement Based on Teacher-Student Deep Learning Using Improved Speech Presence Probability for Noise-Robust Speech Recognition

Hermitian Polynomial for Speaker Adaptation of Connectionist Speech Recognition Systems

A Reverberation-Time-Aware Approach to Speech Dereverberation Based on Deep Neural Networks

A Four-Stage Data Augmentation Approach to ResNet-Conformer Based Acoustic Modeling for Sound Event Localization and Detection

A deep neural network approach to speech bandwidth expansion

A Regression Approach to Single-Channel Speech Separation Via High-Resolution Deep Neural Networks

A Cross-Entropy-Guided Measure (CEGM) for Assessing Speech Recognition Performance and Optimizing DNN-Based Speech Enhancement

A Speaker-Dependent Approach to Separation of Far-Field Multi-Talker Microphone Array Speech for Front-End Processing in the CHiME-5 Challenge

A Theory on Deep Neural Network Based Vector-to-Vector Regression With an Illustration of Its Expressive Power in Speech Enhancement

A Vector Space Modeling Approach to Spoken Language Identification

Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition

Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement

Parametric Dependencies of Sliding Window Correlation

A Multiobjective Learning and Ensembling Approach to High-Performance Speech Enhancement With Compact Neural Network Architectures

Improving non-native mispronunciation detection and enriching diagnostic feedback with DNN-based speech attribute modeling

A Gender Mixture Detection Approach to Unsupervised Single-Channel Speech Separation Based on Deep Neural Networks

Using Generalized Gaussian Distributions to Improve Regression Error Modeling for Deep Learning-Based Speech Enhancement

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