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Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition.

, , , and . LREC, page 3242-3249. European Language Resources Association, (2022)

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Human and Automatic Speech Recognition Performance on German Oral History Interviews., , , , and . CoRR, (2022)Robust Speech Recognition via Adaptation for German Oral History Interviews.. Bonn, Rheinische Friedrich-Wilhelms-Universität, (2022)Bilingual I-Vector Extractor for DNN Hybrid Acoustic Model Training in German Speech Recognition Systems., , , and . ITG Conference on Speech Communication, page 1-5. VDE, (2021)Multi-Staged Cross-Lingual Acoustic Model Adaption for Robust Speech Recognition in Real-World Applications - A Case Study on German Oral History Interviews., , , , and . LREC, page 6354-6362. European Language Resources Association, (2020)Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition., , , and . LREC, page 3242-3249. European Language Resources Association, (2022)Improving Robust Speech Recognition for German Oral History Interviews Using Multi-Condition Training., , and . ITG Symposium on Speech Communication, page 1-5. VDE / IEEE, (2018)A Comparative Pronunciation Mapping Approach using G2P Conversion for Anglicisms in German Speech Recognition., , , and . ITG Conference on Speech Communication, page 1-5. VDE, (2021)Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition., , , and . CoRR, (2021)Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews., , , and . ICME, page 796-801. IEEE, (2019)Using Automatic Speech Recognition in Spoken Corpus Curation., , and . LREC, page 6423-6428. European Language Resources Association, (2020)