Jahn Heymann
Jahn Heymann
Applied Scientist @ Amazon
Verified email at amazon.com
Title
Cited by
Cited by
Year
Espnet: End-to-end speech processing toolkit
S Watanabe, T Hori, S Karita, T Hayashi, J Nishitoba, Y Unno, NEY Soplin, ...
arXiv preprint arXiv:1804.00015, 2018
4612018
Neural network based spectral mask estimation for acoustic beamforming
J Heymann, L Drude, R Haeb-Umbach
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
2962016
BLSTM supported GEV beamformer front-end for the 3rd CHiME challenge
J Heymann, L Drude, A Chinaev, R Haeb-Umbach
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015
1112015
Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system
J Heymann, L Drude, C Boeddeker, P Hanebrink, R Haeb-Umbach
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
822017
Wide residual BLSTM network with discriminative speaker adaptation for robust speech recognition
LD Jahn Heymann, R Haeb-Umbach
CHiME 2016 workshop 78, 79, 2016
542016
NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing
L Drude, J Heymann, C Boeddeker, R Haeb-Umbach
Speech Communication; 13th ITG-Symposium, 1-5, 2018
512018
Front-end processing for the CHiME-5 dinner party scenario
C Boeddeker, J Heitkaemper, J Schmalenstroeer, L Drude, J Heymann, ...
CHiME5 Workshop, Hyderabad, India 1, 2018
472018
The RWTH/UPB/FORTH system combination for the 4th CHiME challenge evaluation
T Menne, J Heymann, A Alexandridis, K Irie, A Zeyer, M Kitza, P Golik, ...
Universitätsbibliothek der RWTH Aachen, 2016
352016
A generic neural acoustic beamforming architecture for robust multi-channel speech processing
J Heymann, L Drude, R Haeb-Umbach
Computer Speech & Language 46, 374-385, 2017
342017
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.
J Ebbers, J Heymann, L Drude, T Glarner, R Haeb-Umbach, B Raj
InterSpeech, 488-492, 2017
302017
Unsupervised word segmentation from noisy input
J Heymann, O Walter, R Haeb-Umbach, B Raj
2013 IEEE workshop on automatic speech recognition and understanding, 458-463, 2013
292013
Iterative Bayesian word segmentation for unsupervised vocabulary discovery from phoneme lattices
J Heymann, O Walter, R Haeb-Umbach, B Raj
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
272014
Performance of mask based statistical beamforming in a smart home scenario
J Heymann, M Bacchiani, TN Sainath
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
242018
Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation.
L Drude, C Boeddeker, J Heymann, R Haeb-Umbach, K Kinoshita, ...
Interspeech, 3043-3047, 2018
232018
On the computation of complex-valued gradients with application to statistically optimum beamforming
C Boeddeker, P Hanebrink, L Drude, J Heymann, R Haeb-Umbach
arXiv preprint arXiv:1701.00392, 2017
222017
Optimizing neural-network supported acoustic beamforming by algorithmic differentiation
C Boeddeker, P Hanebrink, L Drude, J Heymann, R Haeb-Umbach
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
192017
Frame-online DNN-WPE dereverberation
J Heymann, L Drude, R Haeb-Umbach, K Kinoshita, T Nakatani
2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018
162018
Joint optimization of neural network-based WPE dereverberation and acoustic model for robust online ASR
J Heymann, L Drude, R Haeb-Umbach, K Kinoshita, T Nakatani
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
142019
Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming
J Schmalenstroeer, J Heymann, L Drude, C Boeddecker, ...
2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP …, 2017
122017
Unsupervised training of neural mask-based beamforming
L Drude, J Heymann, R Haeb-Umbach
arXiv preprint arXiv:1904.01578, 2019
112019
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