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ELITR multilingual live subtitling: Demo and strategy
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Bojar, O.; Macháček, D.; Sagar, S.; Smrž, O.; Kratochvíl, J.; Polák, P.; Ansari, E.; Mahmoudi, M.; Kumar, R.; Franceschini, D.; Canton, C.; Simonini, I.; Nguyen, T.-S.; Schneider, F.; Stüker, S.; Waibel, A.; Haddow, B.; Sennrich, R.; Williams, P.. - 2021
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Abstract:
This paper presents an automatic speech translation system aimed at live subtitling of conference presentations. We describe the overall architecture and key processing components. More importantly, we explain our strategy for building a complex system for end-users from numerous individual components, each of which has been tested only in laboratory conditions. The system is a working prototype that is routinely tested in recognizing English, Czech, and German speech and presenting it translated simultaneously into 42 target languages.
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DATA processing & computer science; ddc:004; info:eu-repo/classification/ddc/004
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URL: https://publikationen.bibliothek.kit.edu/1000134354
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A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments
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In: Language Resources and Evaluation Conference (LREC) ; https://hal.archives-ouvertes.fr/hal-01807093 ; Language Resources and Evaluation Conference (LREC), Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Pi, May 2018, Miyazaki, Japan (2018)
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Neural language codes for multilingual acoustic models
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In: ISSN: 2308-457X (2018)
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A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments ...
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Modified polyphone decision tree specialization for porting multilingual grapheme based ASR systems to new languages
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