Pavel Golik
Pavel Golik
Unknown affiliation
Verified email at cs.rwth-aachen.de
TitleCited byYear
Cross-Entropy vs. Squared Error Training: a Theoretical and Experimental Comparison
P Golik, P Doetsch, H Ney
Interspeech, 1756-1760, 2013
1052013
Acoustic Modeling with Deep Neural Networks Using Raw Time Signal for LVCSR
Z Tüske, P Golik, R Schlüter, H Ney
Interspeech, 890-894, 2014
942014
Convolutional Neural Networks for Acoustic Modeling of Raw Time Signal in LVCSR
P Golik, Z Tüske, R Schlüter, H Ney
Interspeech, 26-30, 2015
452015
Multilingual Representations for Low Resource Speech Recognition and Keyword Search
J Cui, B Kingsbury, B Ramabhadran, A Sethy, K Audhkhasi, Z Tüske, ...
IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 259-266, 2015
432015
RASR/NN: The RWTH Neural Network Toolkit for Speech Recognition
S Wiesler, A Richard, P Golik, R Schlüter, H Ney
IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 3281-3285, 2014
282014
Data Augmentation, Feature Combination, and Multilingual Neural Networks to Improve ASR and KWS Performance for Low-resource Languages
Z Tüske, P Golik, D Nolden, R Schlüter, H Ney
Interspeech, 1420-1424, 2014
262014
Logistic Model Trees with AUC Split Criterion for the KDD Cup 2009 Small Challenge.
P Doetsch, C Buck, P Golik, N Hoppe, M Kramp, J Laudenberg, ...
Journal of Machine Learning Research 7, 77-88, 2009
232009
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, ...
The 4th International Workshop on Speech Processing in Everyday Environments, 2016
172016
Non-stationary feature extraction for automatic speech recognition
Z Tuske, P Golik, R Schluter, FR Drepper
IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 5204-5207, 2011
162011
Multilingual Features Based Keyword Search for Very Low-Resource Languages
P Golik, Z Tüske, R Schlüter, H Ney
Interspeech, 1260-1264, 2015
142015
Speaker Adaptive Joint Training of Gaussian Mixture Models and Bottleneck Features
Z Tüske, P Golik, R Schlüter, H Ney
IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 596-603, 2015
102015
Investigations on Sequence Training of Neural Networks
S Wiesler, P Golik, R Schlueter, H Ney
IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2015
92015
Unsupervised Adaptation of a Denoising Autoencoder by Bayesian Feature Enhancement for Reverberant ASR under Mismatch Conditions
J Heymann, R Haeb-Umbach, P Golik, R Schlueter
IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2015
52015
Development of the RWTH Transcription System for Slovenian
P Golik, Z Tüske, R Schlüter, H Ney
Interspeech, 3107-3111, 2013
52013
Systems and methods for identifying music in a noisy environment
E Weinstein, B Harb, A Misra, MD Riley, P Golik, A Rudnick
US Patent 8,965,766, 2015
32015
Mobile music modeling, analysis and recognition
P Golik, B Harb, A Misra, M Riley, A Rudnick, E Weinstein
IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2353-2356, 2012
32012
A comprehensive study of batch construction strategies for recurrent neural networks in MXNet
P Doetsch, P Golik, H Ney
https://arxiv.org/abs/1705.02414, 2017
22017
Investigations on byte-level convolutional neural networks for language modeling in low resource speech recognition
K Irie, P Golik, R Schlüter, H Ney
IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 5740-5744, 2017
22017
The 2016 RWTH Keyword Search System for Low-Resource Languages
P Golik, Z Tüske, K Irie, E Beck, R Schlüter, H Ney
International Conference Speech and Computer (SPECOM) 10458, 719-730, 2017
12017
MLLP-UPV and RWTH Aachen Spanish ASR Systems for the IberSpeech-RTVE 2018 Speech-to-Text Transcription Challenge
J Jorge, A Martínez-Villaronga, P Golik, A Giménez, JA Silvestre-Cerdà, ...
IberSPEECH, 257-261, 2018
2018
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Articles 1–20