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2022

• Improving the Training Recipe for a Robust Conformer-based Hybrid Model
  Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Ralf Schlüter, Hermann Ney INTERSPEECH 2022

• Automatic Learning of Subword Dependent Model Scales
  Felix Meyer, Wilfried Michel, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney
  INTERSPEECH 2022

• Conformer-based Hybrid ASR System for Switchboard Dataset
  Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Wilfried Michel, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney
  ICASSP 2022

2021

• Investigating Methods to Improve Language Model Integration for Attention-based Encoder-Decoder ASR Models
  Mohammad Zeineldeen, Alexandr Glushko, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney
  INTERSPEECH 2021 [slides] [video]

• Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition
  Wei Zhou, Mohammad Zeineldeen, Zuoyun Zheng, Ralf Schlüter, Hermann Ney
  INTERSPEECH 2021 [slides]

• Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures
  Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney
  IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) 2021

2020

• A Systematic Comparison of Grapheme-based vs. Phoneme-based Label Units for Encoder-Decoder-Attention Models
  Mohammad Zeineldeen, Albert Zeyer, Wei Zhou, Thomas Ng, Ralf Schlüter, Hermann Ney
  arXiv

• Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR
  Mohammad Zeineldeen, Albert Zeyer, Ralf Schlüter, Hermann Ney
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020 [slides]