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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 Abstract: ESIC (Europarl Simultaneous Interpreting Corpus) is a corpus of 370 speeches (10 hours) in English, with manual transcripts, transcribed simultaneous interpreting into Czech and German, and parallel translations. The corpus contains source English videos and audios. The interpreters' voices are not published within the corpus, but there is a tool that downloads them from the web of European Parliament, where they are publicly avaiable. The transcripts are equipped with metadata (disfluencies, mixing voices and languages, read or spontaneous speech, etc.), punctuated, and with word-level timestamps. The speeches in the corpus come from the European Parliament plenary sessions, from the period 2008-11. Most of the speakers are MEP, both native and non-native speakers of English. The corpus contains metadata about the speakers (name, surname, id, fraction) and about the speech (date, topic, read or spontaneous). The current version of ESIC is v1.0. It has validation and evaluation parts. Keyword: ASR evaluation; automatic machine translation evaluation; Europarl; interpreting; simultaneous interpreting URL: http://hdl.handle.net/11234/1-3719 BASE Hide 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 BASE Show details Page: 1 2 3 4 5...11

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