Lukas Drude

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Reinhold Haeb-UmbachProfessor of Communications Engineering, University of PaderbornPatvirtintas el. paštas nt.uni-paderborn.de
Jahn HeymannApplied Scientist @ AmazonPatvirtintas el. paštas amazon.com
Christoph BoeddekerPaderborn UniversityPatvirtintas el. paštas mail.upb.de
Tomohiro NakataniNTT Communication Science LaboratoriesPatvirtintas el. paštas ieee.org
Keisuke KinoshitaResearch Scientist at GooglePatvirtintas el. paštas ieee.org
Marc DelcroixNTT Communication Science LaboratoriesPatvirtintas el. paštas ieee.org
Jens HeitkaemperResearch Scientist, Google IncPatvirtintas el. paštas google.com
Thilo von NeumannPhD student, Paderborn UniversityPatvirtintas el. paštas nt.upb.de
Aleksej ChinaevDevision for Speech Technology and Hearing Aids, Carl-von-Ossietzky University of Oldenburg (GermanyPatvirtintas el. paštas uol.de
Joerg SchmalenstroeerDepartment of Communications Engineering, University of PaderbornPatvirtintas el. paštas nt.uni-paderborn.de
Ricardo RutherUniversidade Federal de Santa CatarinaPatvirtintas el. paštas ufsc.br
Bhiksha RajCarnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Tobias MenneApplied Scientist @ AmazonPatvirtintas el. paštas amazon.com
Janek EbbersPaderborn UniversityPatvirtintas el. paštas nt.upb.de
Shinji WatanabeCarnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Igor GilitschenskiAssistant Professor, University of TorontoPatvirtintas el. paštas cs.toronto.edu
Florian PfaffUniversity of StuttgartPatvirtintas el. paštas ias.uni-stuttgart.de
Gerhard KurzRobert Bosch GmbHPatvirtintas el. paštas kit.edu
Andreas SchwarzPrincipal Scientist at AmazonPatvirtintas el. paštas amazon.com
Uwe D. HanebeckKarlsruhe Institute of Technology (KIT)Patvirtintas el. paštas ieee.org

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Lukas Drude

Applied Scientist @ Amazon Alexa

Patvirtintas el. paštas amazon.com - Pagrindinis puslapis

Blind source separation beamforming deep neural networks acoustic modeling


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	562	2016
Photovoltaics (PV) and electric vehicle-to-grid (V2G) strategies for peak demand reduction in urban regions in Brazil in a smart grid environment L Drude, LCP Junior, R Rüther Renewable Energy 68, 443-451, 2014	193	2014
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	184	2015
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	150	2017
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	141	2018
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	127	2018
Far-field automatic speech recognition R Haeb-Umbach, J Heymann, L Drude, S Watanabe, M Delcroix, ... Proceedings of the IEEE 109 (2), 124-148, 2020	120	2020
Listening to each speaker one by one with recurrent selective hearing networks K Kinoshita, L Drude, M Delcroix, T Nakatani 2018 IEEE international conference on acoustics, speech and signal …, 2018	86	2018
SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition L Drude, J Heitkaemper, C Boeddeker, R Haeb-Umbach arXiv preprint arXiv:1910.13934, 2019	83	2019
Wide residual BLSTM network with discriminative speaker adaptation for robust speech recognition LD Jahn Heymann, R Haeb-Umbach CHiME 2016 workshop 78, 79, 2016	72	2016
Demystifying TasNet: A dissecting approach J Heitkaemper, D Jakobeit, C Boeddeker, L Drude, R Haeb-Umbach ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020	69	2020
Unsupervised training of a deep clustering model for multichannel blind source separation L Drude, D Hasenklever, R Haeb-Umbach ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019	67	2019
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	63	2017
Tight Integration of Spatial and Spectral Features for BSS with Deep Clustering Embeddings. L Drude, R Haeb-Umbach Interspeech, 2650-2654, 2017	57	2017
The RWTH/UPB/FORTH system combination for the 4th CHiME challenge evaluation T Menne Deutsche Nationalbibliothek, 2016	55	2016
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	53	2017
Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR T von Neumann, C Boeddeker, L Drude, K Kinoshita, M Delcroix, ... arXiv preprint arXiv:2006.02786, 2020	51	2020
Integration of neural networks and probabilistic spatial models for acoustic blind source separation L Drude, R Haeb-Umbach IEEE Journal of Selected Topics in Signal Processing 13 (4), 815-826, 2019	48	2019
End-to-end training of time domain audio separation and recognition T von Neumann, K Kinoshita, L Drude, C Boeddeker, M Delcroix, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020	44	2020
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	43	2018

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