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1
Building the Application to Identify Incorrect Capital Letters Writing in Bahasa Indonesia
Building the Application to Identify Incorrect Capital Letters Writing in Bahasa Indonesia
Material Type:
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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 [Tạp chí có phản biện]

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
Automatic Speech Recognition Method Based on Deep Learning Approaches for Uzbek Language
Material Type:
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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 [Tạp chí có phản biện]

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
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Material Type:
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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 [Tạp chí có phản biện]

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
Automatized analysis of children's exposure to child-directed speech in reschool settings: Validation and application
Material Type:
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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 [Tạp chí có phản biện]

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
Syllable based approach for text to speech synthesis of Assamese language: A review
Material Type:
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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 [Tạp chí có phản biện]

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
Deep learning based assistive technology on audio visual speech recognition for hearing impaired
Material Type:
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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 [Tạp chí có phản biện]

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
Audio-visual speech recognition using deep learning
Material Type:
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Audio-visual speech recognition using deep learning

Applied intelligence (Dordrecht, Netherlands), 2015-06, Vol.42 (4), p.722-737 [Tạp chí có phản biện]

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
Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data
Material Type:
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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 [Tạp chí có phản biện]

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
Multi-stage Audio-Visual Fusion for Dysarthric Speech Recognition with Pre-trained Models
Multi-stage Audio-Visual Fusion for Dysarthric Speech Recognition with Pre-trained Models
Material Type:
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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 [Tạp chí có phản biện]

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

Tài liệu số/Tài liệu điện tử

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10
'Look, I can speak correctly': learning vocabulary and pronunciation through websites equipped with automatic speech recognition technology
'Look, I can speak correctly': learning vocabulary and pronunciation through websites equipped with automatic speech recognition technology
Material Type:
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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 [Tạp chí có phản biện]

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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11
An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition
An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition
Material Type:
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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 [Tạp chí có phản biện]

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
Multi-resolution speech analysis for automatic speech recognition using deep neural networks: Experiments on TIMIT
Material Type:
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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 [Tạp chí có phản biện]

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
Speech Vision: An End-to-End Deep Learning-Based Dysarthric Automatic Speech Recognition System
Material Type:
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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 [Tạp chí có phản biện]

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

Tài liệu số/Tài liệu điện tử

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

Multimedia tools and applications, 2021-03, Vol.80 (6), p.9411-9457 [Tạp chí có phản biện]

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
Dynamic Acoustic Unit Augmentation with BPE-Dropout for Low-Resource End-to-End Speech Recognition
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

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 [Tạp chí có phản biện]

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
A Primer on Neural Network Models for Natural Language Processing
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

A Primer on Neural Network Models for Natural Language Processing

The Journal of artificial intelligence research, , Vol.57, p.345-420 [Tạp chí có phản biện]

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
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

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
Lipreading Architecture Based on Multiple Convolutional Neural Networks for Sentence-Level Visual Speech Recognition
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

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

Sensors (Basel, Switzerland), 2021-12, Vol.22 (1), p.72 [Tạp chí có phản biện]

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
End-to-end indonesian speech recognition with convolutional and gated recurrent units
Material Type:
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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 [Tạp chí có phản biện]

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
Strategies for distant speech recognitionin reverberant environments
Material Type:
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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 [Tạp chí có phản biện]

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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Kết quả 1 - 20 của 446.207  trong Tất cả tài nguyên

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