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Niko Moritz
Niko Moritz
Meta AI
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Streaming automatic speech recognition with the transformer model
N Moritz, T Hori, J Le
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
1392020
Triggered attention for end-to-end speech recognition
N Moritz, T Hori, J Le Roux
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
1182019
Noise robust distant automatic speech recognition utilizing NMF based source separation and auditory feature extraction
N Moritz, MR Schädler, K Adiloglu, BT Meyer, T Jürgens, T Gerkmann, ...
Proc. of CHiME, 1-6, 2013
802013
An auditory inspired amplitude modulation filter bank for robust feature extraction in automatic speech recognition
N Moritz, J Anemüller, B Kollmeier
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (11 …, 2015
452015
Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments
N Moritz, J Anemüller, B Kollmeier
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
452011
Information and communication technologies for promoting and sustaining quality of life, health and self-sufficiency in ageing societies–outcomes of the Lower Saxony Research …
R Haux, A Hein, G Kolb, H Künemund, M Eichelberg, JE Appell, ...
Informatics for Health and Social Care 39 (3-4), 166-187, 2014
392014
Acoustic user interfaces for ambient-assisted living technologies
S Goetze, N Moritz, JE Appell, M Meis, C Bartsch, J Bitzer
Informatics for Health and Social Care 35 (3-4), 125-143, 2010
392010
Streaming end-to-end speech recognition with joint CTC-attention based models
N Moritz, T Hori, J Le Roux
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
372019
On the use of spectro-temporal features for the IEEE AASP challenge ‘detection and classification of acoustic scenes and events’
J Schröder, N Moritz, MR Schädler, B Cauchi, K Adiloglu, J Anemüller, ...
2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013
342013
Momentum pseudo-labeling for semi-supervised speech recognition
Y Higuchi, N Moritz, JL Roux, T Hori
arXiv preprint arXiv:2106.08922, 2021
312021
Unsupervised domain adaptation for speech recognition via uncertainty driven self-training
S Khurana, N Moritz, T Hori, J Le Roux
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
282021
Front-end technologies for robust ASR in reverberant environments—spectral enhancement-based dereverberation and auditory modulation filterbank features
F Xiong, BT Meyer, N Moritz, R Rehr, J Anemüller, T Gerkmann, S Doclo, ...
EURASIP Journal on Advances in Signal Processing 2015, 1-18, 2015
272015
Unsupervised speaker adaptation using attention-based speaker memory for end-to-end ASR
L Sarı, N Moritz, T Hori, J Le Roux
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
262020
Classifier architectures for acoustic scenes and events: implications for DNNs, TDNNs, and perceptual features from DCASE 2016
J Schröder, N Moritz, J Anemüller, S Goetze, B Kollmeier
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1304 …, 2017
252017
Vectorized Beam Search for CTC-Attention-Based Speech Recognition.
H Seki, T Hori, S Watanabe, N Moritz, J Le Roux
INTERSPEECH, 3825-3829, 2019
242019
Semi-supervised speech recognition via graph-based temporal classification
N Moritz, T Hori, J Le Roux
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
232021
Transformer-Based Long-Context End-to-End Speech Recognition.
T Hori, N Moritz, C Hori, J Le Roux
Interspeech, 5011-5015, 2020
232020
Should deep neural nets have ears? The role of auditory features in deep learning approaches
AMC Martinez, N Moritz, BT Meyer
Fifteenth Annual Conference of the International Speech Communication …, 2014
212014
On sound source localization of speech signals using deep neural networks
R Roden, N Moritz, S Gerlach, S Weinzierl, S Goetze
Technische Universität Berlin, 2019
192019
Multi-channel speech enhancement and amplitude modulation analysis for noise robust automatic speech recognition
N Moritz, K Adiloğlu, J Anemüller, S Goetze, B Kollmeier
Computer Speech & Language 46, 558-573, 2017
152017
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