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Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling ...
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Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling
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In: Fraunhofer IAIS (2021)
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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
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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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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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NAT: Noise-Aware Training for Robust Neural Sequence Labeling
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In: Fraunhofer IAIS (2020)
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Speech Analytics in Research Based on Qualitative Interviews. Experiences from KA3
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In: Fraunhofer IAIS (2018)
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Multitask sequence-to-sequence models for grapheme-to-phoneme conversion
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In: Fraunhofer IAIS (2017)
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KA3. Weiterentwicklung von Sprachtechnologien im Kontext der Oral History
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In: Fraunhofer IAIS (2017)
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Potentials for ASR based on multiple acoustic models and model selection using standard speech features
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In: Fraunhofer IAIS (2012)
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DiSCo - A German evaluation corpus for challenging problems in the broadcast domain
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Comparing Three Methods to Create Multilingual Phone Models for Vocabulary Independent Speech Recognition Tasks
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In: DTIC (2000)
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