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1
Building the Application to Identify Incorrect Capital Letters Writing in Bahasa Indonesia
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Building the Application to Identify Incorrect Capital Letters Writing in Bahasa Indonesia

Journal of physics. Conference series, 2019-06, Vol.1235 (1), p.12108 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2019. 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: 10.1088/1742-6596/1235/1/012108

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2
Automatic Speech Recognition Method Based on Deep Learning Approaches for Uzbek Language
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Automatic Speech Recognition Method Based on Deep Learning Approaches for Uzbek Language

Sensors (Basel, Switzerland), 2022-05, Vol.22 (10), p.3683 [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/s22103683 ;PMID: 35632092

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3
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
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Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

The Journal of artificial intelligence research, , Vol.61, p.65-170 [Peer Reviewed Journal]

2018. 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.5477

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4
Automatized analysis of children's exposure to child-directed speech in reschool settings: Validation and application
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Automatized analysis of children's exposure to child-directed speech in reschool settings: Validation and application

PloS one, 2020-11, Vol.15 (11), p.e0242511-e0242511 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Gonzalez Villasanti et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Gonzalez Villasanti et al 2020 Gonzalez Villasanti et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0242511 ;PMID: 33237919

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5
Syllable based approach for text to speech synthesis of Assamese language: A review
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Syllable based approach for text to speech synthesis of Assamese language: A review

Journal of physics. Conference series, 2020-12, Vol.1706 (1), p.12168 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. 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: 10.1088/1742-6596/1706/1/012168

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6
Deep learning based assistive technology on audio visual speech recognition for hearing impaired
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Deep learning based assistive technology on audio visual speech recognition for hearing impaired

International journal of cognitive computing in engineering, 2022-06, Vol.3, p.24-30 [Peer Reviewed Journal]

2022 ;ISSN: 2666-3074 ;EISSN: 2666-3074 ;DOI: 10.1016/j.ijcce.2022.01.003

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7
Audio-visual speech recognition using deep learning
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Audio-visual speech recognition using deep learning

Applied intelligence (Dordrecht, Netherlands), 2015-06, Vol.42 (4), p.722-737 [Peer Reviewed Journal]

The Author(s) 2014 ;Springer Science+Business Media New York 2015 ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-014-0629-7

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8
Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data
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Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data

Sensors (Basel, Switzerland), 2020-04, Vol.20 (8), p.2326 [Peer Reviewed Journal]

2020. This work is licensed 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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20082326 ;PMID: 32325814

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9
'Look, I can speak correctly': learning vocabulary and pronunciation through websites equipped with automatic speech recognition technology
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'Look, I can speak correctly': learning vocabulary and pronunciation through websites equipped with automatic speech recognition technology

Computer assisted language learning, 2022-05, Vol.ahead-of-print (ahead-of-print), p.1-29 [Peer Reviewed Journal]

2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2022 ;ISSN: 0958-8221 ;EISSN: 1744-3210 ;DOI: 10.1080/09588221.2022.2080230

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10
Multi-stage Audio-Visual Fusion for Dysarthric Speech Recognition with Pre-trained Models
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Multi-stage Audio-Visual Fusion for Dysarthric Speech Recognition with Pre-trained Models

IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.31, p.1-1 [Peer Reviewed Journal]

ISSN: 1534-4320 ;EISSN: 1558-0210 ;DOI: 10.1109/TNSRE.2023.3262001 ;CODEN: ITNSB3

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11
An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition
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An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition

PloS one, 2017-08, Vol.12 (8), p.e0182580-e0182580 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Lozano-Diez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Lozano-Diez et al 2017 Lozano-Diez et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0182580 ;PMID: 28796806

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12
Multi-resolution speech analysis for automatic speech recognition using deep neural networks: Experiments on TIMIT
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Article
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Multi-resolution speech analysis for automatic speech recognition using deep neural networks: Experiments on TIMIT

PloS one, 2018-10, Vol.13 (10), p.e0205355-e0205355 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Toledano et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Toledano et al 2018 Toledano et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0205355 ;PMID: 30304055

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13
Speech Vision: An End-to-End Deep Learning-Based Dysarthric Automatic Speech Recognition System
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Speech Vision: An End-to-End Deep Learning-Based Dysarthric Automatic Speech Recognition System

IEEE transactions on neural systems and rehabilitation engineering, 2021, Vol.29, p.852-861 [Peer Reviewed Journal]

ISSN: 1534-4320 ;EISSN: 1558-0210 ;DOI: 10.1109/TNSRE.2021.3076778 ;PMID: 33929963 ;CODEN: ITNSB3

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14
Automatic speech recognition: a survey
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Article
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Automatic speech recognition: a survey

Multimedia tools and applications, 2021-03, Vol.80 (6), p.9411-9457 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2020 ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-020-10073-7

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15
Dynamic Acoustic Unit Augmentation with BPE-Dropout for Low-Resource End-to-End Speech Recognition
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Dynamic Acoustic Unit Augmentation with BPE-Dropout for Low-Resource End-to-End Speech Recognition

Sensors (Basel, Switzerland), 2021-04, Vol.21 (9), p.3063 [Peer Reviewed Journal]

2021 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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21093063 ;PMID: 33924798

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16
A Primer on Neural Network Models for Natural Language Processing
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Article
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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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17
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization
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Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization

IEEE transaction on neural networks and learning systems, 2019-01, Vol.30 (1), p.138-150

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2018.2830119 ;CODEN: ITNNAL

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18
Lipreading Architecture Based on Multiple Convolutional Neural Networks for Sentence-Level Visual Speech Recognition
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Lipreading Architecture Based on Multiple Convolutional Neural Networks for Sentence-Level Visual Speech Recognition

Sensors (Basel, Switzerland), 2021-12, Vol.22 (1), p.72 [Peer Reviewed Journal]

2021 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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22010072 ;PMID: 35009612

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19
End-to-end indonesian speech recognition with convolutional and gated recurrent units
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Article
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End-to-end indonesian speech recognition with convolutional and gated recurrent units

Journal of physics. Conference series, 2020-06, Vol.1566 (1), p.12118 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. 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: 10.1088/1742-6596/1566/1/012118

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20
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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