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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 Hits 1 – 20 of 55 1 Findings of the IWSLT 2020 Evaluation campaign Niehues, Jan; Federico, Marcello; Ma, Xutai. - : Association for Computational Linguistics, 2022 BASE Show details 2 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 3 Lecture Translator Speech translation framework for simultaneous lecture translation Waibel, Alex; Nguyen, Thai-Son; Cho, Eunah. - : Association for Computational Linguistics, 2022 BASE Show details 4 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 5 Lightly Supervised Quality Estimation Waibel, Alex; Niehues, Jan; Stüker, Sebastian. - : Association for Computational Linguistics, 2022 BASE Show details 6 ELITR Multilingual Live Subtitling: Demo and Strategy ... Bojar, Ondřej; Macháček, Dominik; Sagar, Sangeet. - : ACL Anthology, 2021 BASE Show details 7 Efficient Weight factorization for Multilingual Speech Recognition ... Pham, Ngoc-Quan; Nguyen, Tuan-Nam; Stueker, Sebastian. - : arXiv, 2021 BASE Show details 8 Efficientweight factorization for multilingual speech recognition Pham, Ngoc-Quan; Nguyen, Tuan-Nam; Stueker, Sebastian. - : Curran Associates, Inc., 2021 BASE Show details 9 Findings of the IWSLT 2020 Evaluation campaign ... Ansari, Ebrahim; Axelrod, Amittai; Bach, Nguyen. - : Association for Computational Linguistics, 2020 BASE Show details 10 Super-Human Performance in Online Low-latency Recognition of Conversational Speech ... Nguyen, Thai-Son; Stueker, Sebastian; Waibel, Alex. - : arXiv, 2020 BASE Show details 11 Neural Language Codes for Multilingual Acoustic Models ... Müller, Markus; Stüker, Sebastian; Waibel, Alex. - : arXiv, 2018 BASE Show details 12 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 13 19: Grundlagen der Automatischen Spracherkennung, Vorlesung, WS 2017/18, 24.01.2018 Stüker, Sebastian; KIT. - 2018 BASE Show details 14 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 15 Multilingual Adaptation of RNN Based ASR Systems ... Müller, Markus; Stüker, Sebastian; Waibel, Alex. - : arXiv, 2017 BASE Show details 16 Phonemic and Graphemic Multilingual CTC Based Speech Recognition ... Müller, Markus; Stüker, Sebastian; Waibel, Alex. - : arXiv, 2017 BASE Show details 17 Comparison of Decoding Strategies for CTC Acoustic Models ... Zenkel, Thomas; Sanabria, Ramon; Metze, Florian; Niehues, Jan; Sperber, Matthias; Stüker, Sebastian; Waibel, Alex. - : arXiv, 2017 Abstract: Connectionist Temporal Classification has recently attracted a lot of interest as it offers an elegant approach to building acoustic models (AMs) for speech recognition. The CTC loss function maps an input sequence of observable feature vectors to an output sequence of symbols. Output symbols are conditionally independent of each other under CTC loss, so a language model (LM) can be incorporated conveniently during decoding, retaining the traditional separation of acoustic and linguistic components in ASR. For fixed vocabularies, Weighted Finite State Transducers provide a strong baseline for efficient integration of CTC AMs with n-gram LMs. Character-based neural LMs provide a straight forward solution for open vocabulary speech recognition and all-neural models, and can be decoded with beam search. Finally, sequence-to-sequence models can be used to translate a sequence of individual sounds into a word string. We compare the performance of these three approaches, and analyze their error patterns, which ... : 5 pages. To appear in Interspeech 2017 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1708.04469 https://dx.doi.org/10.48550/arxiv.1708.04469 BASE Hide details 18 13: Grundbegriffe der Informatik, Vorlesung, WS 2017/18, 01.12.2017 Stüker, Sebastian; KIT. - 2017 BASE Show details 19 Grundlagen der Automatischen Spracherkennung, Vorlesung, WS 2016/17, 18.01.2017, 18 Stüker, Sebastian; KIT. - 2017 BASE Show details 20 03: Grundlagen der Automatischen Spracherkennung, Vorlesung, WS 2017/18, 30.10.2017 Stüker, Sebastian; KIT. - 2017 BASE Show details Page: 1 2 3

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