Mirko Hannemann

According to our database, Mirko Hannemann authored at least 22 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Acoustic Model Fusion For End-to-End Speech Recognition.

Zhihong Lei, Mingbin Xu, Shiyi Han, Leo Liu, Zhen Huang, Tim Ng, Yuanyuan Zhang, Ernest Pusateri, Mirko Hannemann, Yaqiao Deng, Man-Hung Siu

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Space-Efficient Representation of Entity-centric Query Language Models.

Christophe Van Gysel, Mirko Hannemann, Ernest Pusateri, Youssef Oualil, Ilya Oparin

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2019

Connecting and Comparing Language Model Interpolation Techniques.

Ernest Pusateri, Christophe Van Gysel, Rami Botros, Sameer Badaskar, Mirko Hannemann, Youssef Oualil, Ilya Oparin

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition.

Eugen Beck, Mirko Hannemann, Patrick Dötsch, Ralf Schlüter, Hermann Ney

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

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

Bayesian joint-sequence models for grapheme-to-phoneme conversion.

Mirko Hannemann, Jan Trmal, Lucas Ondel, Santosh Kesiraju, Lukás Burget

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

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

PhD thesis, 2016

2014

But ASR system for BABEL Surprise evaluation 2014.

Martin Karafiát, Karel Veselý, Igor Szöke, Lukás Burget, Frantisek Grézl, Mirko Hannemann, Jan Cernocký

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

BUT 2014 Babel system: analysis of adaptation in NN based systems.

Martin Karafiát, Frantisek Grézl, Karel Veselý, Mirko Hannemann, Igor Szöke, Jan Cernocký

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

But neural network features for spontaneous Vietnamese in BABEL.

Martin Karafiát, Frantisek Grézl, Mirko Hannemann, Jan Cernocký

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

BUT BABEL system for spontaneous Cantonese.

Martin Karafiát, Frantisek Grézl, Mirko Hannemann, Karel Veselý, Jan Cernocký

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Combining forward and backward search in decoding.

Mirko Hannemann, Daniel Povey, Geoffrey Zweig

Proceedings of the IEEE International Conference on Acoustics, 2013

Semi-supervised training of Deep Neural Networks.

Karel Veselý, Mirko Hannemann, Lukás Burget

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

Score normalization and system combination for improved keyword spotting.

Damianos G. Karakos, Richard M. Schwartz, Stavros Tsakalidis, Le Zhang, Shivesh Ranjan, Tim Ng, Roger Hsiao, Guruprasad Saikumar, Ivan Bulyko, Long Nguyen, John Makhoul, Frantisek Grézl, Mirko Hannemann, Martin Karafiát, Igor Szöke, Karel Veselý, Lori Lamel, Viet Bac Le

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012

Out-of-Vocabulary Word Detection and Beyond.

Stefan Kombrink, Mirko Hannemann, Lukás Burget

Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

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, Ngoc Thang Vu

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010

Recovery of Rare Words in Lecture Speech.

Stefan Kombrink, Mirko Hannemann, Lukás Burget, Hynek Hermansky

Proceedings of the Text, Speech and Dialogue, 13th International Conference, 2010

Similarity scoring for recognizing repeated out-of-vocabulary words.

Mirko Hannemann, Stefan Kombrink, Martin Karafiát, Lukás Burget

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

2008

Hierarchical HMM-based semantic concept labeling model.

Kinfe Tadesse Mengistu, Mirko Hannemann, Tobias Baum, Andreas Wendemuth

Proceedings of the 2008 IEEE Spoken Language Technology Workshop, 2008

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

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Detection of out-of-vocabulary words in posterior based ASR.

Hamed Ketabdar, Mirko Hannemann, Hynek Hermansky

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007