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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 BASE Show 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 Abstract: The thesis addresses the issue of automatic speech recognition and claims that today it is almost on par with the accuracy of human speech recognition. The first part of the work discusses human speech recognition. The main theory that explains its efficiency and the effect of a number of sociophonetic factors is the exemplar theory. The second part of the thesis discusses the most advanced automatic speech recognition currently available and the technology it is based on. Due to a lack of academic research on the performance of ASR systems and on how modern systems cope with language variation the third part of the thesis is an experiment that aims to fill the gap in research and test the ASR systems developed by Google and Apple. The results of the experiment demonstrate that overall these systems are sensitive to language variation and some of the sociophonetic factors that this variation is associated with. There is a bias towards specific dialect region, namely, a positive bias towards the Western states of the USA, and also recording quality and gender biases, with a positive bias towards female speakers in the Google ASR (the latter is statistically insignificant). The age did not appear to have any effect when it was in the numeric continuous format, but there was a slight bias against the older (60+ y.o.) participants. The binary factor of knowledge of other languages did not demonstrate any effect. These findings support the initial hypothesis that ASR systems are currently sensitive to language variation with its sociophonetic factors and have room for further improvement. Keyword: Automatische Spracherkennung URL: https://nbn-resolving.org/urn:nbn:de:bsz:25-freidok-1493573 https://www.freidok.uni-freiburg.de/dnb/download/149357 https://doi.org/10.6094/UNIFR/149357 https://freidok.uni-freiburg.de/data/149357 BASE Hide 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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