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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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Vector-to-Vector Regression via Distributional Loss for Speech Enhancement

IEEE signal processing letters, 2021, Vol.28, p.254-258

Siniscalchi, Sabato Marco

2021

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Adaptation to New Microphones Using Artificial Neural Networks With Trainable Activation Functions

IEEE transaction on neural networks and learning systems, 2017-08, Vol.28 (8), p.1959-1965

2017

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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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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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How word semantics and phonology affect handwriting of Alzheimer’s patients: A machine learning based analysis

Computers in biology and medicine, 2024-02, Vol.169, p.107891-107891, Article 107891

2024

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Acoustic-to-Articulatory Mapping With Joint Optimization of Deep Speech Enhancement and Articulatory Inversion Models

IEEE/ACM transactions on audio, speech, and language processing, 2022, Vol.30, p.135-147

2022

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A multimodal retina‐iris biometric system using the Levenshtein distance for spatial feature comparison

IET biometrics, 2021-01, Vol.10 (1), p.44-64

2021

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Experiments on Cross-Language Attribute Detection and Phone Recognition With Minimal Target-Specific Training Data

IEEE transactions on audio, speech, and language processing, 2012-03, Vol.20 (3), p.875-887

2012

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Improving Mispronunciation Detection of Mandarin Tones for Non-Native Learners With Soft-Target Tone Labels and BLSTM-Based Deep Tone Models

IEEE/ACM transactions on audio, speech, and language processing, 2019-12, Vol.27 (12), p.2012-2024

2019

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Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.7504-7508

2020

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Improving Mandarin Tone Recognition Based on DNN by Combining Acoustic and Articulatory Features Using Extended Recognition Networks

Journal of signal processing systems, 2018-07, Vol.90 (7), p.1077-1087

2018

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Ensemble Hierarchical Extreme Learning Machine for Speech Dereverberation

IEEE transactions on cognitive and developmental systems, 2020-12, Vol.12 (4), p.744-758

2020

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A Two-Stage Approach to Device-Robust Acoustic Scene Classification

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.845-849

2021

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Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th International Workshop on Spoken Dialogue Systems

1st Edition 2021, 2021

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Maximal Figure-of-Merit Framework to Detect Multi-Label Phonetic Features for Spoken Language Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2020, Vol.28, p.682-695

2020

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A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation

EURASIP journal on advances in signal processing, 2017-12, Vol.2017 (1), p.1-13, Article 81

2017

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A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Experimental Study on Extreme Learning Machine Applications for Speech Enhancement

IEEE access, 2017, Vol.5, p.25542-25554

2017

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A Bottom-Up Modular Search Approach to Large Vocabulary Continuous Speech Recognition

IEEE transactions on audio, speech, and language processing, 2013-04, Vol.21 (4), p.786-797

2013

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Summary on the Multimodal Information Based Speech Processing (MISP) 2022 Challenge

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-2

2023

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Bayesian Unsupervised Batch and Online Speaker Adaptation of Activation Function Parameters in Deep Models for Automatic Speech Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2017-01, Vol.25 (1), p.64-75

2017

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Toward a detector-based universal phone recognizer

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, p.4261-4264

2008

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A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurity

Neurocomputing (Amsterdam), 2023-06, Vol.537, p.296-308

2023

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A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition

Neurocomputing (Amsterdam), 2016-12, Vol.218, p.448-459

2016

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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

Vector-to-Vector Regression via Distributional Loss for Speech Enhancement

Adaptation to New Microphones Using Artificial Neural Networks With Trainable Activation Functions

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

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

How word semantics and phonology affect handwriting of Alzheimer’s patients: A machine learning based analysis

Acoustic-to-Articulatory Mapping With Joint Optimization of Deep Speech Enhancement and Articulatory Inversion Models

A multimodal retina‐iris biometric system using the Levenshtein distance for spatial feature comparison

Experiments on Cross-Language Attribute Detection and Phone Recognition With Minimal Target-Specific Training Data

Improving Mispronunciation Detection of Mandarin Tones for Non-Native Learners With Soft-Target Tone Labels and BLSTM-Based Deep Tone Models

Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network

Improving Mandarin Tone Recognition Based on DNN by Combining Acoustic and Articulatory Features Using Extended Recognition Networks

Ensemble Hierarchical Extreme Learning Machine for Speech Dereverberation

A Two-Stage Approach to Device-Robust Acoustic Scene Classification

Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th International Workshop on Spoken Dialogue Systems

Maximal Figure-of-Merit Framework to Detect Multi-Label Phonetic Features for Spoken Language Recognition

A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation

A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition

Experimental Study on Extreme Learning Machine Applications for Speech Enhancement

A Bottom-Up Modular Search Approach to Large Vocabulary Continuous Speech Recognition

Summary on the Multimodal Information Based Speech Processing (MISP) 2022 Challenge

Bayesian Unsupervised Batch and Online Speaker Adaptation of Activation Function Parameters in Deep Models for Automatic Speech Recognition

Toward a detector-based universal phone recognizer

A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurity

A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition

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