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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 – 4 of 4 1 Neural Language Codes for Multilingual Acoustic Models ... Müller, Markus; Stüker, Sebastian; Waibel, Alex. - : arXiv, 2018 BASE Show details 2 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 3 19: Grundlagen der Automatischen Spracherkennung, Vorlesung, WS 2017/18, 24.01.2018 Stüker, Sebastian; KIT. - 2018 BASE Show details 4 Open Source Toolkit for Speech to Text Translation Zenkel Thomas; Sperber Matthias; Niehues Jan; Müller Markus; Pham Ngoc-Quan; Stüker Sebastian; Waibel Alex In: Prague Bulletin of Mathematical Linguistics , Vol 111, Iss 1, Pp 125-135 (2018) (2018) Abstract: In this paper we introduce an open source toolkit for speech translation. While there already exists a wide variety of open source tools for the essential tasks of a speech translation system, our goal is to provide an easy to use recipe for the complete pipeline of translating speech. We provide a Docker container with a ready to use pipeline of the following components: a neural speech recognition system, a sentence segmentation system and an attention-based translation system. We provide recipes for training and evaluating models for the task of translating English lectures and TED talks to German. Additionally, we provide pre-trained models for this task. With this toolkit we hope to facilitate the development of speech translation systems and to encourage researchers to improve the overall performance of speech translation systems. Keyword: Computational linguistics. Natural language processing; P98-98.5 URL: https://doi.org/10.2478/pralin-2018-0011 https://doaj.org/article/4e328ac53e1841f3904834c2377f9938 BASE Hide details

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