The Fraunhofer IAIS Audio Mining System: Current State and Future Directions. - Christoph Schmidt 001; Michael Stadtschnitzer; Joachim Köhler (ITG Symposium on Speech Communication, 2016)

Multitask Sequence-to-Sequence Models for Grapheme-to-Phoneme Conversion. - Benjamin Milde; Christoph Schmidt 001; Joachim Köhler (INTERSPEECH, 2017)

Towards a Knowledge Graph based Speech Interface. - Ashwini Jaya Kumar; Sören Auer; Christoph Schmidt 001; Joachim Köhler (CoRR, 2017)

Use of Knowledge Graph in Rescoring the N-Best List in Automatic Speech Recognition. - Ashwini Jaya Kumar; Camilo Morales; Maria-Esther Vidal; Christoph Schmidt 001; Sören Auer (CoRR, 2017)

A knowledge graph based speech interface for question answering systems. - Ashwini Jaya Kumar; Christoph Schmidt 001; Joachim Köhler (Speech Commun., 2017)

Improving Robust Speech Recognition for German Oral History Interviews Using Multi-Condition Training. - Michael Gref; Christoph Schmidt 001; Joachim Köhler (ITG Symposium on Speech Communication, 2018)

Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews. - Michael Gref; Christoph Schmidt 001; Sven Behnke; Joachim Köhler (ICME, 2019)

Multi-Staged Cross-Lingual Acoustic Model Adaption for Robust Speech Recognition in Real-World Applications - A Case Study on German Oral History Interviews. - Michael Gref; Oliver Walter; Christoph Schmidt 001; Sven Behnke; Joachim Köhler (LREC, 2020)

A Comparative Pronunciation Mapping Approach using G2P Conversion for Anglicisms in German Speech Recognition. - Julia Pritzen; Michael Gref; Christoph Schmidt 001; Dietlind Zühlke (ITG Conference on Speech Communication, 2021)

Bilingual I-Vector Extractor for DNN Hybrid Acoustic Model Training in German Speech Recognition Systems. - Yao Wang; Michael Gref; Oliver Walter; Christoph Schmidt 001 (ITG Conference on Speech Communication, 2021)

Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition. - Julia Pritzen; Michael Gref; Dietlind Zühlke; Christoph Andreas Schmidt (LREC, 2022)

Human and Automatic Speech Recognition Performance on German Oral History Interviews. - Michael Gref; Nike Matthiesen; Christoph Schmidt 001; Sven Behnke; Joachim Köhler (CoRR, 2022)

Using Automatic Speech Recognition to Evaluate Team Processes in Aviation - First Experiences and Open Questions. - Anne Papenfuss; Christoph Andreas Schmidt (HCI (8), 2023)

A Multimodal, Multilabel Approach to Recognize Emotions in Oral History Interviews. - Anargh Viswanath; Michael Gref; Teena Hassan; Christoph Schmidt 001 (ACII, 2024)