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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 Hits 1 – 17 of 17 1 KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning Nguyen, Thai-Son; Zenkel, Thomas; Waibel, Alex. - : Association for Computational Linguistics, 2022 BASE Show details 2 Lecture Translator Speech translation framework for simultaneous lecture translation Waibel, Alex; Nguyen, Thai-Son; Cho, Eunah. - : Association for Computational Linguistics, 2022 BASE Show details 3 Open Source Toolkit for Speech to Text Translation Zenkel, Thomas; Sperber, Matthias; Niehues, Jan... In: The Prague Bulletin of Mathematical Linguistics, 111 (1), 125–135 ; ISSN: 0032-6585, 1804-0462 (2022) BASE Show details 4 Speech technology for unwritten languages Scharenborg, Odette; Besacier, Laurent; Black, Alan... In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.inria.fr/hal-02480675 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2020, ⟨10.1109/TASLP.2020.2973896⟩ (2020) BASE Show details 5 Streaming End-to-End Bilingual ASR Systems with Joint Language Identification ... Punjabi, Surabhi; Arsikere, Harish; Raeesy, Zeynab. - : arXiv, 2020 BASE Show details 6 Neural Language Codes for Multilingual Acoustic Models ... Müller, Markus; Stüker, Sebastian; Waibel, Alex. - : arXiv, 2018 Abstract: Multilingual Speech Recognition is one of the most costly AI problems, because each language (7,000+) and even different accents require their own acoustic models to obtain best recognition performance. Even though they all use the same phoneme symbols, each language and accent imposes its own coloring or "twang". Many adaptive approaches have been proposed, but they require further training, additional data and generally are inferior to monolingually trained models. In this paper, we propose a different approach that uses a large multilingual model that is \emph{modulated} by the codes generated by an ancillary network that learns to code useful differences between the "twangs" or human language. We use Meta-Pi networks to have one network (the language code net) gate the activity of neurons in another (the acoustic model nets). Our results show that during recognition multilingual Meta-Pi networks quickly adapt to the proper language coloring without retraining or new data, and perform better than ... : 5 pages, 3 figures, accepted at Interspeech 2018 ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Sound cs.SD URL: https://dx.doi.org/10.48550/arxiv.1807.01956 https://arxiv.org/abs/1807.01956 BASE Hide details 7 Multilingual Modulation by Neural Language Codes ... Müller, Markus. - : Karlsruhe, 2018 BASE Show details 8 Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ... Scharenborg, Odette; Besacier, Laurent; Black, Alan. - : arXiv, 2018 BASE Show details 9 Multilingual Modulation by Neural Language Codes Müller, Markus. - : KIT-Bibliothek, Karlsruhe, 2018 BASE Show details 10 Open Source Toolkit for Speech to Text Translation Zenkel Thomas; Sperber Matthias; Niehues Jan... In: Prague Bulletin of Mathematical Linguistics , Vol 111, Iss 1, Pp 125-135 (2018) (2018) BASE Show details 11 Multilingual Adaptation of RNN Based ASR Systems ... Müller, Markus; Stüker, Sebastian; Waibel, Alex. - : arXiv, 2017 BASE Show details 12 Phonemic and Graphemic Multilingual CTC Based Speech Recognition ... Müller, Markus; Stüker, Sebastian; Waibel, Alex. - : arXiv, 2017 BASE Show details 13 Evaluation of Crowdsourced User Input Data for Spoken Dialog Systems Wagner, Martin; Stüker, Sebastian; Werner, Steffen. - : Association for Computational Linguistics, 2015 BASE Show details 14 Using Language Adaptive Deep Neural Networks for Improved Multilingual Speech Recognition Müller, Markus; Waibel, Alex. - 2015 BASE Show details 15 Buchbesprechungen - Making Avonlea: L.M. Montgomery and Popular Culture Gammel, Irene; Müller, Markus M. In: Zeitschrift für Anglistik und Amerikanistik. - Berlin [u.a.] : De Gruyter 52 (2004) 3, 308 OLC Linguistik Show details 16 Besprechungen - Zwischen Deutschland und Frankreich. Elisabeth von Lothringen, Grafin von Nassau-Saarbrücken. Haubrichs, Wolfgang; Herrmann, Hans-Walter; Müller, Markus In: Beiträge zur Geschichte der deutschen Sprache und Literatur. - Berlin : de Gruyter 126 (2004) 3, 538-541 OLC Linguistik Show details 17 Vom Schluß zum Ganzen : zur Bedeutung des paulinischen Briefkorpusabschlusses Müller, Markus. - Göttingen : Vandenhoeck & Ruprecht, 1997 UB Frankfurt Linguistik Show details

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