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1
Retracted: Research and DSP Implementation of Speech Enhancement Technology Based on Dynamic Mixed Features and Adaptive Mask
Retracted: Research and DSP Implementation of Speech Enhancement Technology Based on Dynamic Mixed Features and Adaptive Mask
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Retracted: Research and DSP Implementation of Speech Enhancement Technology Based on Dynamic Mixed Features and Adaptive Mask

Journal of Electrical and Computer Engineering, 2023-12, Vol.2023, p.1-1 [Peer Reviewed Journal]

Copyright © 2023 Journal of Electrical and Computer Engineering. ;COPYRIGHT 2023 Hindawi Limited ;Copyright © 2023 Journal of Electrical and Computer Engineering. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 2090-0147 ;EISSN: 2090-0155 ;DOI: 10.1155/2023/9890456

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2
A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research
A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research
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A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

EURASIP journal on advances in signal processing, 2016-01, Vol.2016 (1), p.1-19, Article 7 [Peer Reviewed Journal]

Kinoshita et al. 2016 ;COPYRIGHT 2016 Springer ;The Author(s) 2016 ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;EISSN: 1687-6180 ;DOI: 10.1186/s13634-016-0306-6

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3
A Primer on Neural Network Models for Natural Language Processing
A Primer on Neural Network Models for Natural Language Processing
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A Primer on Neural Network Models for Natural Language Processing

The Journal of artificial intelligence research, , Vol.57, p.345-420 [Peer Reviewed Journal]

2016. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.4992

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4
Speech encryption using chaotic shift keying for secured speech communication
Speech encryption using chaotic shift keying for secured speech communication
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Speech encryption using chaotic shift keying for secured speech communication

EURASIP journal on audio, speech, and music processing, 2017-09, Vol.2017 (1), p.1-11, Article 20 [Peer Reviewed Journal]

The Author(s). 2017 ;EURASIP Journal on Audio, Speech, and Music Processing is a copyright of Springer, 2017. ;ISSN: 1687-4722 ;ISSN: 1687-4714 ;EISSN: 1687-4722 ;DOI: 10.1186/s13636-017-0118-0

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5
EEG seizure detection and prediction algorithms: a survey
EEG seizure detection and prediction algorithms: a survey
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EEG seizure detection and prediction algorithms: a survey

EURASIP journal on advances in signal processing, 2014-12, Vol.2014 (1), Article 183 [Peer Reviewed Journal]

Alotaiby et al.; licensee Springer. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. ;ISSN: 1687-6180 ;EISSN: 1687-6180 ;DOI: 10.1186/1687-6180-2014-183

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6
Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come
Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come
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Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come

EURASIP journal on wireless communications and networking, 2019-05, Vol.2019 (1), p.1-20, Article 129 [Peer Reviewed Journal]

The Author(s) 2019 ;EURASIP Journal on Wireless Communications and Networking is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;ISSN: 1687-1499 ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-019-1438-9

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7
Speech Recognition Using Deep Neural Networks: A Systematic Review
Speech Recognition Using Deep Neural Networks: A Systematic Review
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Speech Recognition Using Deep Neural Networks: A Systematic Review

IEEE access, 2019, Vol.7, p.19143-19165 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2896880 ;CODEN: IAECCG

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8
Ubiquitous cell-free Massive MIMO communications
Ubiquitous cell-free Massive MIMO communications
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Ubiquitous cell-free Massive MIMO communications

EURASIP journal on wireless communications and networking, 2019-08, Vol.2019 (1), p.1-13, Article 197 [Peer Reviewed Journal]

The Author(s) 2019 ;EURASIP Journal on Wireless Communications and Networking is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1499 ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-019-1507-0

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9
Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration
Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration
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Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration

EURASIP journal on advances in signal processing, 2020-12, Vol.2020 (1), p.1-26, Article 49 [Peer Reviewed Journal]

The Author(s) 2020 ;COPYRIGHT 2020 Springer ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;EISSN: 1687-6180 ;DOI: 10.1186/s13634-020-00707-1

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10
End-to-End Deep Convolutional Recurrent Models for Noise Robust Waveform Speech Enhancement
End-to-End Deep Convolutional Recurrent Models for Noise Robust Waveform Speech Enhancement
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End-to-End Deep Convolutional Recurrent Models for Noise Robust Waveform Speech Enhancement

Sensors (Basel, Switzerland), 2022-10, Vol.22 (20), p.7782 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22207782

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11
A survey of machine learning for big data processing
A survey of machine learning for big data processing
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A survey of machine learning for big data processing

EURASIP Journal on Advances in Signal Processing, 2016-05, Vol.2016 (1), p.1-16, Article 67 [Peer Reviewed Journal]

Qiu et al. 2016 ;COPYRIGHT 2016 Springer ;The Author(s) 2016 ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;EISSN: 1687-6180 ;DOI: 10.1186/s13634-016-0355-x

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12
A multi-task learning speech synthesis optimization method based on CWT: a case study of Tacotron2
A multi-task learning speech synthesis optimization method based on CWT: a case study of Tacotron2
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A multi-task learning speech synthesis optimization method based on CWT: a case study of Tacotron2

EURASIP journal on advances in signal processing, 2024-12, Vol.2024 (1), p.4-14, Article 4 [Peer Reviewed Journal]

The Author(s) 2023 ;COPYRIGHT 2024 Springer ;The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;EISSN: 1687-6180 ;DOI: 10.1186/s13634-023-01096-x

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13
Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA
Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA
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Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA

EURASIP journal on wireless communications and networking, 2018-05, Vol.2018 (1), p.133-54, Article 133 [Peer Reviewed Journal]

The Author(s) 2018 ;EURASIP Journal on Wireless Communications and Networking is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1687-1472 ;ISSN: 1687-1499 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-018-1104-7 ;PMID: 30996723

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14
Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech
Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech
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Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech

EURASIP journal on advances in signal processing, 2015-07, Vol.2015 (1), p.1-12, Article 61 [Peer Reviewed Journal]

Cauchi et al. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. ;The Author(s) 2015 ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;EISSN: 1687-6180 ;DOI: 10.1186/s13634-015-0242-x

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15
Investigation of the influence of blocks on the linear spectrum for synthetic speech detection
Investigation of the influence of blocks on the linear spectrum for synthetic speech detection
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Investigation of the influence of blocks on the linear spectrum for synthetic speech detection

Electronics letters, 2023-05, Vol.59 (9), p.n/a [Peer Reviewed Journal]

2023 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. ;ISSN: 0013-5194 ;EISSN: 1350-911X ;DOI: 10.1049/ell2.12797

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16
COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings
COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings
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COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings

IEEE open journal of engineering in medicine and biology, 2020-01, Vol.1, p.275-281 [Peer Reviewed Journal]

This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. ;Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;2020 Author ;ISSN: 2644-1276 ;EISSN: 2644-1276 ;DOI: 10.1109/OJEMB.2020.3026928 ;PMID: 34812418 ;CODEN: IOJEA7

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17
Strategies for distant speech recognitionin reverberant environments
Strategies for distant speech recognitionin reverberant environments
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Strategies for distant speech recognitionin reverberant environments

EURASIP journal on advances in signal processing, 2015-07, Vol.2015 (1), p.1-15, Article 60 [Peer Reviewed Journal]

Delcroix et al.; licensee Springer. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;The Author(s) 2015 ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;EISSN: 1687-6180 ;DOI: 10.1186/s13634-015-0245-7

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18
Assessing the effectiveness of diarization algorithms in costa rican children-adult speech according to age group and gender
Assessing the effectiveness of diarization algorithms in costa rican children-adult speech according to age group and gender
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Assessing the effectiveness of diarization algorithms in costa rican children-adult speech according to age group and gender

Tecnología en Marcha, 2022-11, Vol.35 (4), p.24-32 [Peer Reviewed Journal]

LICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. Más información: https://dialnet.unirioja.es/info/derechosOAI | INTELLECTUAL PROPERTY RIGHTS STATEMENT: Full text documents hosted by Dialnet are protected by copyright and/or related rights. This digital object is accessible without charge, but its use is subject to the licensing conditions set by its authors or editors. Unless expressly stated otherwise in the licensing conditions, you are free to linking, browsing, printing and making a copy for your own personal purposes. All other acts of reproduction and communication to the public are subject to the licensing conditions expressed by editors and authors and require consent from them. Any link to this document should be made using its official URL in Dialnet. More info: https://dialnet.unirioja.es/info/derechosOAI ;ISSN: 0379-3982 ;ISSN: 2215-3241 ;ISSN: 0379-3962 ;EISSN: 2215-3241 ;DOI: 10.18845/tm.v35i8.6443

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19
Parasitic sorority of speech processing algorithms with an assortment of statistical toolkits
Parasitic sorority of speech processing algorithms with an assortment of statistical toolkits
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Parasitic sorority of speech processing algorithms with an assortment of statistical toolkits

Journal of physics. Conference series, 2021-08, Vol.1998 (1), p.12024 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1998/1/012024

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20
Assessing the effectiveness of transfer learning strategies in BLSTM networks for speech denoising
Assessing the effectiveness of transfer learning strategies in BLSTM networks for speech denoising
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Assessing the effectiveness of transfer learning strategies in BLSTM networks for speech denoising

Tecnología en marcha, 2022-11, Vol.35 (8) [Peer Reviewed Journal]

ISSN: 0379-3982 ;EISSN: 2215-3241 ;DOI: 10.18845/tm.v35i8.6448

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