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Hits 1 – 15 of 15

1
Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling ...
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2
Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling
In: Fraunhofer IAIS (2021)
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3
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02892154 ; Language Resources and Evaluation Conference, ELDA/ELRA, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/en/ (2020)
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4
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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5
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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6
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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7
NAT: Noise-Aware Training for Robust Neural Sequence Labeling
In: Fraunhofer IAIS (2020)
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8
Speech Analytics in Research Based on Qualitative Interviews. Experiences from KA3
In: Fraunhofer IAIS (2018)
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9
Multitask sequence-to-sequence models for grapheme-to-phoneme conversion
In: Fraunhofer IAIS (2017)
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10
KA3. Weiterentwicklung von Sprachtechnologien im Kontext der Oral History
In: Fraunhofer IAIS (2017)
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11
Potentials for ASR based on multiple acoustic models and model selection using standard speech features
In: Fraunhofer IAIS (2012)
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12
DiSCo - A German evaluation corpus for challenging problems in the broadcast domain
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13
Multilingual phone models for vocabulary-independent speech recognition tasks
In: Speech communication. - Amsterdam [u.a.] : Elsevier 35 (2001) 1, 21-30
OLC Linguistik
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14
Erstellung einer statistisch modellierten multilingualen Lautbibliothek für die Spracherkennung
Köhler, Joachim. - Aachen : Shaker, 2000
BLLDB
UB Frankfurt Linguistik
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15
Comparing Three Methods to Create Multilingual Phone Models for Vocabulary Independent Speech Recognition Tasks
In: DTIC (2000)
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