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1
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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2
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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3
An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map
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An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map

Neural computing & applications, 2019-05, Vol.31 (5), p.1521-1531 [Peer Reviewed Journal]

Copyright Springer Nature B.V. 2019 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3466-5

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4
Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy
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Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy

Sensors (Basel, Switzerland), 2022-04, Vol.22 (8), p.3027 [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/s22083027 ;PMID: 35459013

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5
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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6
End-to-End Lip-Reading Open Cloud-Based Speech Architecture
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End-to-End Lip-Reading Open Cloud-Based Speech Architecture

Sensors (Basel, Switzerland), 2022-04, Vol.22 (8), p.2938 [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/s22082938 ;PMID: 35458932

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7
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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8
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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9
Accent Recognition with Hybrid Phonetic Features
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Accent Recognition with Hybrid Phonetic Features

Sensors (Basel, Switzerland), 2021-09, Vol.21 (18), p.6258 [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/s21186258 ;PMID: 34577464

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10
Multi-Angle Lipreading with Angle Classification-Based Feature Extraction and Its Application to Audio-Visual Speech Recognition
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Multi-Angle Lipreading with Angle Classification-Based Feature Extraction and Its Application to Audio-Visual Speech Recognition

Future internet, 2021-07, Vol.13 (7), p.182 [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. ;ISSN: 1999-5903 ;EISSN: 1999-5903 ;DOI: 10.3390/fi13070182

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11
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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12
A Study of Speech Recognition for Kazakh Based on Unsupervised Pre-Training
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A Study of Speech Recognition for Kazakh Based on Unsupervised Pre-Training

Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.870 [Peer Reviewed Journal]

2023 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. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23020870 ;PMID: 36679666

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13
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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14
'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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15
A Speech Recognition Method Based on Domain-Specific Datasets and Confidence Decision Networks
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A Speech Recognition Method Based on Domain-Specific Datasets and Confidence Decision Networks

Sensors (Basel, Switzerland), 2023-06, Vol.23 (13), p.6036 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 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. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23136036 ;PMID: 37447886

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16
Multi-stage Audio-Visual Fusion for Dysarthric Speech Recognition with Pre-trained Models
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Article
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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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17
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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18
Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU
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Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU

Journal of Artificial Intelligence and Soft Computing Research, 2019-10, Vol.9 (4), p.235-245 [Peer Reviewed Journal]

2019. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2449-6499 ;DOI: 10.2478/jaiscr-2019-0006

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19
Development of Language Models for Continuous Uzbek Speech Recognition System
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Development of Language Models for Continuous Uzbek Speech Recognition System

Sensors (Basel, Switzerland), 2023-01, Vol.23 (3), p.1145 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 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. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23031145 ;PMID: 36772184

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20
Multi-resolution speech analysis for automatic speech recognition using deep neural networks: Experiments on TIMIT
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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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