Stefan Hahn

Stefan Hahn
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Main area of research
Speech recognition

Stefan Hahn studied computer science at RWTH Aachen University. He joined the Human Language Technology and Pattern Recognition Group headed by Prof. Dr-Ing. Hermann Ney in 2004. In 2006 he received the Diplom degree in computer science followed by the PhD degree in 2014, both from RWTH Aachen University. He joined Nuance in 2013. His research interests include automatic speech recognition, log-linear modeling, spoken language understanding, and monotone string-to-string translation.

Selected articles

Improved strategies for a zero OOV rate LVCSR system

In this work, multiple hierarchical language modeling strategies for a zero OOV rate large vocabulary continuous speech recognition system are investigated. In our previously proposed

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Comparison of grapheme-to-phoneme methods on large pronunciation dictionaries and lvcsr tasks

Grapheme-to-Phoneme conversion (G2P) is usually used within every state-of-the-art ASR system to generalize beyond a fixed set of words. Although the performance is typically already

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