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1
Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants
In: ISSN: 1662-4548 ; EISSN: 1662-453X ; Frontiers in Neuroscience ; https://hal.archives-ouvertes.fr/hal-03627441 ; Frontiers in Neuroscience, Frontiers, 2022, 16 (779062), ⟨10.3389/fnins.2022.779062⟩ ; https://www.frontiersin.org/articles/10.3389/fnins.2022.779062/full (2022)
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2
MAGIC DUST FOR CROSS-LINGUAL ADAPTATION OF MONOLINGUAL WAV2VEC-2.0
In: ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03544515 ; ICASSP 2022, May 2022, Singapour, Singapore (2022)
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3
OGAHIYNING TARIXIY ASARLARIDAGI FONETIK O‘ZGARISHLAR XUSUSIDA ...
Qunduzoy Xajiboyeva. - : Academic research in educational sciences, 2022
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4
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ...
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Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ...
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6
Treasure Hunters 2: exploration of speech training efficacy ...
Abstract: Treasure Hunters 2 is the second and improved version of our serious game for speech training in speakers with neurological conditions. In the associated publication we describe our research into the effects of our game on speech intelligibility. This data collection contains the recordings that were used in our experiment to collect untrained listener ratings on speech intelligibility, four weeks before, immediately before and after the speech training. ...
Keyword: ASR; automatic speech recognition; dysarthria; efficacy study; eHealth; Parkinson's Disease; serious gaming; speech intelligibility; speech recognition; speech technology; speech therapy; speech training
URL: https://data.ru.nl/collections/ru/cls/chasing_dsc_837
https://dx.doi.org/10.34973/h19s-c122
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7
Prosodic Feature-Based Discriminatively Trained Low Resource Speech Recognition System
In: Sustainability; Volume 14; Issue 2; Pages: 614 (2022)
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8
Using Automatic Speech Recognition to Assess Thai Speech Language Fluency in the Montreal Cognitive Assessment (MoCA)
In: Sensors; Volume 22; Issue 4; Pages: 1583 (2022)
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9
Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy
In: Sensors; Volume 22; Issue 8; Pages: 3027 (2022)
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10
A Comparison of Hybrid and End-to-End ASR Systems for the IberSpeech-RTVE 2020 Speech-to-Text Transcription Challenge
In: Applied Sciences; Volume 12; Issue 2; Pages: 903 (2022)
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11
Google Translate as a tool for self-directed language learning
van Lieshout, Catharina; Cardoso, Walcir. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2022
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12
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
In: INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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13
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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14
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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15
Recognizing lexical units in low-resource language contexts with supervised and unsupervised neural networks
In: https://hal.archives-ouvertes.fr/hal-03429051 ; [Research Report] LACITO (UMR 7107). 2021 (2021)
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16
Automatic Speech Recognition : from hybrid to end-to-end approach ; Reconnaissance automatique de la parole à large vocabulaire : des approches hybrides aux approches End-to-End
Heba, Abdelwahab. - : HAL CCSD, 2021
In: https://tel.archives-ouvertes.fr/tel-03616588 ; Intelligence artificielle [cs.AI]. Université Paul Sabatier - Toulouse III, 2021. Français. ⟨NNT : 2021TOU30116⟩ (2021)
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17
Large vocabulary automatic speech recognition: from hybrid to end-to-end approaches ; Reconnaissance automatique de la parole à large vocabulaire : des approches hybrides aux approches End-to-End
Heba, Abdelwahab. - : HAL CCSD, 2021
In: https://hal.archives-ouvertes.fr/tel-03269807 ; Son [cs.SD]. Université toulouse 3 Paul Sabatier, 2021. Français (2021)
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18
ESIC 1.0 -- Europarl Simultaneous Interpreting Corpus
Macháček, Dominik; Žilinec, Matúš; Bojar, Ondřej. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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19
Recognizing lexical units in low-resource language contexts with supervised and unsupervised neural networks
In: https://hal.archives-ouvertes.fr/hal-03429051 ; [Research Report] LACITO (UMR 7107). 2021 (2021)
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20
Discriminative feature modeling for statistical speech recognition ...
Tüske, Zoltán. - : RWTH Aachen University, 2021
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