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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...11 Hits 1 – 20 of 217 1 Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants Fontan, Lionel; Gonçalves Braz, Libio; Pinquier, Julien... 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) BASE Show details 2 MAGIC DUST FOR CROSS-LINGUAL ADAPTATION OF MONOLINGUAL WAV2VEC-2.0 Khurana, Sameer; Laurent, Antoine; Glass, James In: ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03544515 ; ICASSP 2022, May 2022, Singapour, Singapore (2022) BASE Show details 3 OGAHIYNING TARIXIY ASARLARIDAGI FONETIK O‘ZGARISHLAR XUSUSIDA ... Qunduzoy Xajiboyeva. - : Academic research in educational sciences, 2022 BASE Show details 4 Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ... Klumpp, Philipp; Arias-Vergara, Tomás; Pérez-Toro, Paula Andrea. - : Zenodo, 2022 BASE Show details 5 Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ... Klumpp, Philipp; Arias-Vergara, Tomás; Pérez-Toro, Paula Andrea. - : Zenodo, 2022 BASE Show details 6 Treasure Hunters 2: exploration of speech training efficacy ... Ganzeboom, Mario; Bakker, Marjoke; Beijer, Lilian. - : Radboud University, 2022 BASE Show details 7 Prosodic Feature-Based Discriminatively Trained Low Resource Speech Recognition System Taniya Hasija; Virender Kadyan; Kalpna Guleria; Abdullah Alharbi; Hashem Alyami; Nitin Goyal In: Sustainability; Volume 14; Issue 2; Pages: 614 (2022) BASE Show details 8 Using Automatic Speech Recognition to Assess Thai Speech Language Fluency in the Montreal Cognitive Assessment (MoCA) Pimarn Kantithammakorn; Proadpran Punyabukkana; Ploy N. Pratanwanich; Solaphat Hemrungrojn; Chaipat Chunharas; Dittaya Wanvarie In: Sensors; Volume 22; Issue 4; Pages: 1583 (2022) BASE Show details 9 Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy Desheng Wang; Yangjie Wei; Ke Zhang; Dong Ji; Yi Wang In: Sensors; Volume 22; Issue 8; Pages: 3027 (2022) BASE Show details 10 A Comparison of Hybrid and End-to-End ASR Systems for the IberSpeech-RTVE 2020 Speech-to-Text Transcription Challenge Juan M. Perero-Codosero; Fernando M. Espinoza-Cuadros; Luis A. Hernández-Gómez In: Applied Sciences; Volume 12; Issue 2; Pages: 903 (2022) BASE Show details 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 BASE Show details 12 LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Evain, Solène; Nguyen, Ha; Le, Hang... 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) BASE Show details 13 LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Evain, Solène; Nguyen, Ha; Le, Hang... 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) BASE Show details 14 LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Evain, Solène; Nguyen, Ha; Le, Hang... 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) BASE Show details 15 Recognizing lexical units in low-resource language contexts with supervised and unsupervised neural networks MACAIRE, Cécile In: https://hal.archives-ouvertes.fr/hal-03429051 ; [Research Report] LACITO (UMR 7107). 2021 (2021) BASE Show details 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) BASE Show details 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) BASE Show details 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 BASE Show details 19 Recognizing lexical units in low-resource language contexts with supervised and unsupervised neural networks MACAIRE, Cécile In: https://hal.archives-ouvertes.fr/hal-03429051 ; [Research Report] LACITO (UMR 7107). 2021 (2021) BASE Show details 20 Discriminative feature modeling for statistical speech recognition ... Tüske, Zoltán. - : RWTH Aachen University, 2021 Abstract: Dissertation, RWTH Aachen University, 2020; Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen, Diagramme (2021). = Dissertation, RWTH Aachen University, 2020 ... : Conventional speech recognition systems consist of feature extraction, acoustic and language modeling blocks, and search block. In a recent trend the traditional modeling approaches in these blocks have been replaced or extended with neural networks. Due to the layered structure of such models, data-driven feature extraction and representation learning happens at multiple levels in modern ASR, besides the traditional cepstral feature extraction. This work revisits and extends these manually and automatically derived features in multiple ways. Acoustic models are traditionally trained on cepstral features. However, the signal analysis is based on the short-time stationary assumption of speech. This is challenged by several acoustical phenomena, therefore in the first part of the thesis we relax this assumption and introduce a novel non-stationary framework to analyze voiced speech. We derive noise robust features from the more precise analysis and extensively evaluate them in noisy speech recognition tasks. ... Keyword: automatische Spracherkennung , Signalverarbeitung , Merkmalextration , neuronale Netze , akustische Modellierung , Sprachmodellierung , multilinguale and multi-domaene Modellierung , automatic speech recognition , ASR , signal processing , feature extraction , neural networks , acoustic modeling , AM , language modeling , LM , multilingual and multi-domain modeling URL: https://dx.doi.org/10.18154/rwth-2021-01241 https://publications.rwth-aachen.de/record/811535 BASE Hide details Page: 1 2 3 4 5...11

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