| The RWTH ASR system for TED-LIUM release 2: Improving hybrid HMM with specaugment W Zhou, W Michel, K Irie, M Kitza, R Schlüter, H Ney ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 47 | 2020 |
| Narrowband direction-of-arrival estimation for binaural hearing aids using relative transfer functions S Braun, W Zhou, EAP Habets 2015 IEEE Workshop on Applications of Signal Processing to Audio and …, 2015 | 44 | 2015 |
| Lstm language models for lvcsr in first-pass decoding and lattice-rescoring E Beck, W Zhou, R Schlüter, H Ney arXiv preprint arXiv:1907.01030, 2019 | 34 | 2019 |
| Phoneme based neural transducer for large vocabulary speech recognition W Zhou, S Berger, R Schlüter, H Ney ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 31 | 2021 |
| A robust voice activity detection for real-time automatic speech recognition O Ghahabi, W Zhou, V Fischer Proc. ESSV, 85-91, 2018 | 26 | 2018 |
| On language model integration for rnn transducer based speech recognition W Zhou, Z Zheng, R Schlüter, H Ney ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 22 | 2022 |
| Efficient Training of Neural Transducer for Speech Recognition W Zhou, W Michel, R Schlüter, H Ney INTERSPEECH 2022, 2022 | 17 | 2022 |
| Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition W Zhou, M Zeineldeen, Z Zheng, R Schlüter, H Ney INTERSPEECH 2021, 2021 | 16 | 2021 |
| A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models M Zeineldeen, A Zeyer, W Zhou, T Ng, R Schlüter, H Ney arXiv preprint arXiv:2005.09336, 2020 | 14 | 2020 |
| Full-sum decoding for hybrid hmm based speech recognition using LSTM language model W Zhou, R Schlüter, H Ney ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 11 | 2020 |
| Robust Beam Search for Encoder-Decoder Attention Based Speech Recognition without Length Bias W Zhou, R Schlüter, H Ney INTERSPEECH 2020, 2020 | 10 | 2020 |
| HMM vs. CTC for automatic speech recognition: Comparison based on full-sum training from scratch T Raissi, W Zhou, S Berger, R Schlüter, H Ney 2022 IEEE Spoken Language Technology Workshop (SLT), 287-294, 2023 | 9 | 2023 |
| Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept W Zhou, A Zeyer, A Merboldt, R Schlüter, H Ney INTERSPEECH 2021, 2021 | 9 | 2021 |
| Monotonic segmental attention for automatic speech recognition A Zeyer, R Schmitt, W Zhou, R Schlüter, H Ney 2022 IEEE Spoken Language Technology Workshop (SLT), 229-236, 2023 | 6 | 2023 |
| Enhancing and adversarial: Improve asr with speaker labels W Zhou, H Wu, J Xu, M Zeineldeen, C Lüscher, R Schlüter, H Ney ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Lattice-free sequence discriminative training for phoneme-based neural transducers Z Yang, W Zhou, R Schlüter, H Ney ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech Recognition W Zhou, E Beck, S Berger, R Schlüter, H Ney INTERSPEECH 2023, 2023 | 2 | 2023 |
| The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech Y Qiao, Z Wei, E Kerz, R Schlüter INTERSPEECH 2021, 2021 | 1 | 2021 |
| On the Relation Between Internal Language Model and Sequence Discriminative Training for Neural Transducers Z Yang, W Zhou, R Schlüter, H Ney ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Investigating the Effect of Language Models in Sequence Discriminative Training for Neural Transducers Z Yang, W Zhou, R Schlüter, H Ney IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) 2023, 2023 | | 2023 |
Ralf SchlüterMachine Learning and Human Language Technology, Lehrstuhl Informatik 6, RWTH Aachen UniversityVerified email at cs.rwth-aachen.de
