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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...16 Hits 1 – 20 of 317 1 The phonetics and phonology of Hong Kong English: a study of fricatives Ho, S.Y.B. (Sin). - 2022 BASE Show details 2 Robust speech recognition for low-resource languages ... Romanenko, Aleksei. - : Universität Ulm, 2022 BASE Show details 3 Overview of GermEval Task 2, 2019 shared task on the identification of offensive language Struß, Julia Maria; Siegel, Melanie; Ruppenhofer, Josef. - 2022 BASE Show details 4 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 5 Simultandolmetschen mit Speech-to-Text-Funktion Ricci, Beatrice. - 2020 BASE Show details 6 Automatisches Spracherkennungssystem zur Quantifizierung der Nase und Nasennebenhöhlen auf die Sprachverständlichkeit ... Eckstein, Katja. - : Ludwig-Maximilians-Universität München, 2019 BASE Show details 7 Sociophonetic factors in automatic speech recognition: a study on American English Misnikov, Evgenii. - 2019 BASE Show details 8 Robust automatic speech recognition and modeling of auditory discrimination experiments with auditory spectro-temporal features Schädler, Marc René. - Oldenburg : BIS-Verlag der Carl von Issietzky Universität Oldenburg, 2016 BLLDB UB Frankfurt Linguistik Show details 9 Lexical and language modeling for Russian large vocabulary continuous speech recognition ... Zablotskiy, Sergey. - : Universität Ulm, 2016 BASE Show details 10 Blind speech separation in distant speech recognition front-end processing Mahdian Toroghi, Rahil. - 2016 BASE Show details 11 Dynamic language models for hybrid speech recognition ; Dynamische Sprachmodelle für Hybride Spracherkennung Georges, Munir. - 2016 BASE Show details 12 Automatische Erkennung von Redewiedergabe : ein Beitrag zur quantitativen Narratologie Brunner, Annelen. - Berlin : De Gruyter, 2015 BLLDB UB Frankfurt Linguistik Show details 13 Automatische Verarbeitung der Morphologie des Albanischen ; Automatic processing of Albanian morphology Kabashi, Besim. - 2015 BASE Show details 14 Language grounding in robots Steels, Luc; Hild, Manfred. - New York [u.a.] : Springer, 2014 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 15 Speech and language processing Martin, James H.; Jurafsky, Dan. - 2. ed., Pearson new international ed. - Harlow : Pearson Education, 2014 IDS Mannheim Show details 16 Automatic speech recognition for low-resource languages and accents using multilingual and crosslingual information Vu, Ngoc Thang. - Aachen : Shaker, 2014 BLLDB UB Frankfurt Linguistik Show details 17 Beiträge zur automatischen Erkennung von Kindersprache Claus, Felix. - Dresden : TUDpress, 2014 BLLDB UB Frankfurt Linguistik Show details 18 Speech-to-Speech Translation Apps Brizar, Ivona. - 2014 BASE Show details 19 Text, Speech, and Dialogue : 16th International Conference, TSD 2013, Pilsen, Czech Republic, September 1-5, 2013, Proceedings Habernal, Ivan; Matousek, Vaclav. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2013 UB Frankfurt Linguistik Show details 20 Evaluation of Natural Language and Speech Tool for Italian : International Workshop, EVALITA 2011, Rome, January 24-25, 2012, Revised Selected Papers Magnini, Bernardo; Cutugno, Francesco; Falcone, Mauro. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2013 UB Frankfurt Linguistik Show details Page: 1 2 3 4 5...16

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