Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Daan van Esch"'
Publikováno v:
The Open Handbook of Linguistic Data Management ISBN: 9780262366076
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f976c2ee291e6d761b1d3b3e614c087e
https://doi.org/10.7551/mitpress/12200.003.0041
https://doi.org/10.7551/mitpress/12200.003.0041
Autor:
Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson
We introduce XTREME-S, a new benchmark to evaluate universal cross-lingual speech representations in many languages. XTREME-S covers four task families: speech recognition, classification, speech-to-text translation and retrieval. Covering 102 langua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d5112276248b7b6fa2427d9ed857587
Publikováno v:
Proceedings of the 1st Workshop on Benchmarking: Past, Present and Future.
The applications of automatic speech recognition (ASR) systems are proliferating, in part due to recent significant quality improvements. However, as recent work indicates, even state-of-the-art speech recognition systems – some which deliver impre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d147bac8634995568c3dd5368ceea862
https://doi.org/10.18653/v1/2021.bppf-1.4
https://doi.org/10.18653/v1/2021.bppf-1.4
Publikováno v:
COLING
Large text corpora are increasingly important for a wide variety of Natural Language Processing (NLP) tasks, and automatic language identification (LangID) is a core technology needed to collect such datasets in a multilingual context. LangID is larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25cfb0764a492e7b9e8ed9f2843fdbdc
http://arxiv.org/abs/2010.14571
http://arxiv.org/abs/2010.14571
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd0fa65e57f8a5bf0cb187c34fb64a22
https://doi.org/10.21437/interspeech.2019-1781
https://doi.org/10.21437/interspeech.2019-1781
Autor:
Daan van Esch, Millie Holt, Eoin Mahon, Nikos Bampounis, Christian Schallhart, Jonas Fromseier Mortensen, Richard Sproat, Benoit Brard, Sandy Ritchie, Kyle Gorman
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb44bcd97fe4478deb2ed932fc943108
https://doi.org/10.21437/interspeech.2019-2807
https://doi.org/10.21437/interspeech.2019-2807
Publikováno v:
Proceedings of the Workshop on Computational Methods for Endangered Languages.
To reduce the annotation burden placed on linguistic fieldworkers, freeing up time for deeper linguistic analysis and descriptive work, the language documentation community has been working with machine learning researchers to investigate what assist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50ee0c69dea9f35dea3b7933c0903ada
https://doi.org/10.33011/computel.v1i.341
https://doi.org/10.33011/computel.v1i.341
Publikováno v:
SLTU
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f32ebae5604082aece35da25cbdfce84
https://doi.org/10.21437/sltu.2018-13
https://doi.org/10.21437/sltu.2018-13
Autor:
Daan van Esch, Richard Sproat
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0971a62f866d377778e9f9261679f824
https://doi.org/10.21437/interspeech.2017-402
https://doi.org/10.21437/interspeech.2017-402
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d20911a419dab07211474f82245489d8
https://doi.org/10.21437/interspeech.2016-1419
https://doi.org/10.21437/interspeech.2016-1419