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41
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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42
Separable Multi-innovation Newton Iterative Modeling Algorithm for Multi-frequency Signals Based on the Sliding Measurement Window
Separable Multi-innovation Newton Iterative Modeling Algorithm for Multi-frequency Signals Based on the Sliding Measurement Window
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Separable Multi-innovation Newton Iterative Modeling Algorithm for Multi-frequency Signals Based on the Sliding Measurement Window

Circuits, systems, and signal processing, 2022-02, Vol.41 (2), p.805-830 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. ;ISSN: 0278-081X ;EISSN: 1531-5878 ;DOI: 10.1007/s00034-021-01801-x

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43
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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44
Robust neural tracking of linguistic speech representations using a convolutional neural network
Robust neural tracking of linguistic speech representations using a convolutional neural network
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Robust neural tracking of linguistic speech representations using a convolutional neural network

intranet 728558;All rights reserved ;ISSN: 1741-2552 ;ISSN: 1741-2560 ;EISSN: 1741-2552 ;DOI: 10.1088/1741-2552/acf1ce

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45
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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46
Identification of Damage Using Lamb Waves: From Fundamentals to Applications
Identification of Damage Using Lamb Waves: From Fundamentals to Applications
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Identification of Damage Using Lamb Waves: From Fundamentals to Applications

Springer London 2009 ;ISSN: 1613-7736 ;ISBN: 9781848827837 ;ISBN: 1848827830 ;EISSN: 1860-0816 ;EISBN: 9781848827844 ;EISBN: 1848827849 ;DOI: 10.1007/978-1-84882-784-4 ;OCLC: 489216169

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47
Non-negative Frequency-Weighted Energy-Based Speech Quality Estimation for Different Modes and Quality of Speech
Non-negative Frequency-Weighted Energy-Based Speech Quality Estimation for Different Modes and Quality of Speech
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Non-negative Frequency-Weighted Energy-Based Speech Quality Estimation for Different Modes and Quality of Speech

Circuits, systems, and signal processing, 2022-12, Vol.41 (12), p.6788-6826 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. ;ISSN: 0278-081X ;EISSN: 1531-5878 ;DOI: 10.1007/s00034-022-02070-y

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48
Correction: Recurrent neural networks for enhanced joint channel estimation and interference cancellation in FBMC and OFDM systems: unveiling the potential for 5G networks
Correction: Recurrent neural networks for enhanced joint channel estimation and interference cancellation in FBMC and OFDM systems: unveiling the potential for 5G networks
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Correction: Recurrent neural networks for enhanced joint channel estimation and interference cancellation in FBMC and OFDM systems: unveiling the potential for 5G networks

EURASIP journal on advances in signal processing, 2023-12, Vol.2023 (1), p.130-1, Article 130 [Peer Reviewed Journal]

The Author(s) 2023 ;COPYRIGHT 2023 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/s13634-023-01090-3

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49
Correction: Quantization-aware sampling set selection for bandlimited graph signals
Correction: Quantization-aware sampling set selection for bandlimited graph signals
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Correction: Quantization-aware sampling set selection for bandlimited graph signals

EURASIP journal on advances in signal processing, 2023-12, Vol.2023 (1), p.12-2, Article 12 [Peer Reviewed Journal]

The Author(s) 2022 ;COPYRIGHT 2023 Springer ;The Author(s) 2022. 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/s13634-022-00946-4

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50
Correction: Robust automatic modulation classification under noise mismatch
Correction: Robust automatic modulation classification under noise mismatch
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Correction: Robust automatic modulation classification under noise mismatch

EURASIP journal on advances in signal processing, 2023-12, Vol.2023 (1), p.80-1, Article 80 [Peer Reviewed Journal]

The Author(s) 2023 ;COPYRIGHT 2023 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/s13634-023-01043-w

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51
A Recursive Parameter Estimation Algorithm for Modeling Signals with Multi-frequencies
A Recursive Parameter Estimation Algorithm for Modeling Signals with Multi-frequencies
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A Recursive Parameter Estimation Algorithm for Modeling Signals with Multi-frequencies

Circuits, systems, and signal processing, 2020-08, Vol.39 (8), p.4198-4224 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2020 ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;ISSN: 0278-081X ;EISSN: 1531-5878 ;DOI: 10.1007/s00034-020-01356-3

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52
Blockchain smart contracts: Applications, challenges, and future trends
Blockchain smart contracts: Applications, challenges, and future trends
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Blockchain smart contracts: Applications, challenges, and future trends

Peer-to-peer networking and applications, 2021-09, Vol.14 (5), p.2901-2925 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1936-6442 ;EISSN: 1936-6450 ;DOI: 10.1007/s12083-021-01127-0 ;PMID: 33897937

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53
A new clustering routing method based on PECE for WSN
A new clustering routing method based on PECE for WSN
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A new clustering routing method based on PECE for WSN

EURASIP journal on wireless communications and networking, 2015-06, Vol.2015 (1), p.1-13, Article 162 [Peer Reviewed Journal]

Zhang 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: 1687-1499 ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-015-0399-x

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54
The IoT electric business model: Using blockchain technology for the internet of things
The IoT electric business model: Using blockchain technology for the internet of things
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The IoT electric business model: Using blockchain technology for the internet of things

Peer-to-peer networking and applications, 2017-07, Vol.10 (4), p.983-994 [Peer Reviewed Journal]

Springer Science+Business Media New York 2016 ;Peer-to-Peer Networking and Applications is a copyright of Springer, 2017. ;ISSN: 1936-6442 ;EISSN: 1936-6450 ;DOI: 10.1007/s12083-016-0456-1

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55
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques
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Article 		Add to My Research

Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques

The Journal of artificial intelligence research, 2022-01, Vol.73, p.673-707 [Peer Reviewed Journal]

2022. 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.1.12967

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56
Fractional Processes and Fractional-Order Signal Processing: Techniques and Applications
Fractional Processes and Fractional-Order Signal Processing: Techniques and Applications
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Fractional Processes and Fractional-Order Signal Processing: Techniques and Applications

Springer-Verlag London Limited 2012 ;ISSN: 1860-4862 ;ISBN: 9781447122333 ;ISBN: 144712233X ;ISBN: 1447122321 ;ISBN: 9781447122326 ;EISBN: 9781447122333 ;EISBN: 144712233X ;DOI: 10.1007/978-1-4471-2233-3 ;OCLC: 759858601

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57
Speech enhancement from fused features based on deep neural network and gated recurrent unit network
Speech enhancement from fused features based on deep neural network and gated recurrent unit network
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Article 		Add to My Research

Speech enhancement from fused features based on deep neural network and gated recurrent unit network

EURASIP journal on advances in signal processing, 2021-10, Vol.2021 (1), p.1-19, Article 104 [Peer Reviewed Journal]

The Author(s) 2021 ;COPYRIGHT 2021 Springer ;The Author(s) 2021. 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/s13634-021-00813-8

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58
SpEx: Multi-Scale Time Domain Speaker Extraction Network
SpEx: Multi-Scale Time Domain Speaker Extraction Network
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SpEx: Multi-Scale Time Domain Speaker Extraction Network

IEEE/ACM transactions on audio, speech, and language processing, 2020, Vol.28, p.1370-1384 [Peer Reviewed Journal]

ISSN: 2329-9290 ;EISSN: 2329-9304 ;DOI: 10.1109/TASLP.2020.2987429 ;CODEN: ITASD8

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59
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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60
A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
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A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging

Journal of mathematical imaging and vision, 2011-05, Vol.40 (1), p.120-145 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2010 ;ISSN: 0924-9907 ;EISSN: 1573-7683 ;DOI: 10.1007/s10851-010-0251-1

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