Detection of out-of-vocabulary words in posterior based ASR. - Hamed Ketabdar; Mirko Hannemann; Hynek Hermansky (INTERSPEECH, 2007)

Combination of strongly and weakly constrained recognizers for reliable detection of OOVS. - Lukás Burget; Petr Schwarz; Pavel Matejka; Mirko Hannemann; Ariya Rastrow; Christopher M. White; Sanjeev Khudanpur; Hynek Hermansky; Jan Cernocký (ICASSP, 2008)

Hierarchical HMM-based semantic concept labeling model. - Kinfe Tadesse Mengistu; Mirko Hannemann; Tobias Baum; Andreas Wendemuth (SLT, 2008)

Similarity scoring for recognizing repeated out-of-vocabulary words. - Mirko Hannemann; Stefan Kombrink; Martin Karafiát; Lukás Burget (INTERSPEECH, 2010)

Recovery of Rare Words in Lecture Speech. - Stefan Kombrink; Mirko Hannemann; Lukás Burget; Hynek Hermansky (TSD, 2010)

Generating exact lattices in the WFST framework. - Daniel Povey; Mirko Hannemann; Gilles Boulianne; Lukás Burget; Arnab Ghoshal; Milos Janda; Martin Karafiát; Stefan Kombrink; Petr Motlícek; Yanmin Qian; Korbinian Riedhammer; Karel Veselý; et al. (ICASSP, 2012)

Out-of-Vocabulary Word Detection and Beyond. - Stefan Kombrink; Mirko Hannemann; Lukás Burget (Detection and Identification of Rare Audiovisual Cues, 2012)

Score normalization and system combination for improved keyword spotting. - Damianos G. Karakos; Richard M. Schwartz; Stavros Tsakalidis; Le Zhang 002; Shivesh Ranjan; Tim Ng; Roger Hsiao; Guruprasad Saikumar; Ivan Bulyko; Long Nguyen 001; John Makhoul; Frantisek Grézl; et al. (ASRU, 2013)

Semi-supervised training of Deep Neural Networks. - Karel Veselý; Mirko Hannemann; Lukás Burget (ASRU, 2013)

Combining forward and backward search in decoding. - Mirko Hannemann; Daniel Povey; Geoffrey Zweig (ICASSP, 2013)

BUT BABEL system for spontaneous Cantonese. - Martin Karafiát; Frantisek Grézl; Mirko Hannemann; Karel Veselý; Jan Cernocký (INTERSPEECH, 2013)

But neural network features for spontaneous Vietnamese in BABEL. - Martin Karafiát; Frantisek Grézl; Mirko Hannemann; Jan Cernocký (ICASSP, 2014)

BUT 2014 Babel system: analysis of adaptation in NN based systems. - Martin Karafiát; Frantisek Grézl; Karel Veselý; Mirko Hannemann; Igor Szöke; Jan Cernocký (INTERSPEECH, 2014)

But ASR system for BABEL Surprise evaluation 2014. - Martin Karafiát; Karel Veselý; Igor Szöke; Lukás Burget; Frantisek Grézl; Mirko Hannemann; Jan Cernocký (SLT, 2014)

Finite-state based recognition networks for forward-backward speech decoding ; Rozpoznávácí sítě založené na konečných stavových převodnících pro dopředné a zpětné dekódování v rozpoznávání řeči. - Mirko Hannemann (2016)

Bayesian joint-sequence models for grapheme-to-phoneme conversion. - Mirko Hannemann; Jan Trmal; Lucas Ondel; Santosh Kesiraju; Lukás Burget (ICASSP, 2017)

Inverted Alignments for End-to-End Automatic Speech Recognition. - Patrick Doetsch; Mirko Hannemann; Ralf Schlüter; Hermann Ney (IEEE J. Sel. Top. Signal Process., 2017)

Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition. - Eugen Beck; Mirko Hannemann; Patrick Dötsch; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2018)

Connecting and Comparing Language Model Interpolation Techniques. - Ernest Pusateri; Christophe Van Gysel; Rami Botros; Sameer Badaskar; Mirko Hannemann; Youssef Oualil; Ilya Oparin (INTERSPEECH, 2019)

Space-Efficient Representation of Entity-centric Query Language Models. - Christophe Van Gysel; Mirko Hannemann; Ernest Pusateri; Youssef Oualil; Ilya Oparin (INTERSPEECH, 2022)

Acoustic Model Fusion For End-to-End Speech Recognition. - Zhihong Lei; Mingbin Xu; Shiyi Han; Leo Liu; Zhen Huang 001; Tim Ng; Yuanyuan Zhang; Ernest Pusateri; Mirko Hannemann; Yaqiao Deng; Man-Hung Siu (ASRU, 2023)

Personalization of CTC-Based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization. - Zhihong Lei; Ernest Pusateri; Shiyi Han; Leo Liu; Mingbin Xu; Tim Ng; Ruchir Travadi; Youyuan Zhang; Mirko Hannemann; Man-Hung Siu; Zhen Huang 001 (ICASSP, 2024)