Pavel Golik
Pavel Golik
Verified email at
Cited by
Cited by
Cross-Entropy vs. Squared Error Training: a Theoretical and Experimental Comparison
P Golik, P Doetsch, H Ney
Interspeech, 1756-1760, 2013
Acoustic Modeling with Deep Neural Networks Using Raw Time Signal for LVCSR
Z Tüske, P Golik, R Schlüter, H Ney
Interspeech, 890-894, 2014
Convolutional Neural Networks for Acoustic Modeling of Raw Time Signal in LVCSR
P Golik, Z Tüske, R Schlüter, H Ney
Interspeech, 26-30, 2015
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
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
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
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
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
Cumulative Adaptation for BLSTM Acoustic Models
M Kitza, P Golik, R Schlüter, H Ney
Interspeech, 754-758, 2019
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
Start-before-end and End-to-end: Neural Speech Translation by AppTek and RWTH Aachen University
P Bahar, P Wilken, T Alkhouli, A Guta, P Golik, E Matusov, C Herold
IWSLT 2020, 44-54, 2020
How Might We Create Better Benchmarks for Speech Recognition?
A Aksenova, D van Esch, J Flynn, P Golik
ACL-IJCNLP Workshop on Benchmarking: Past, Present and Future, 22--34, 2021
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
Multilingual Features Based Keyword Search for Very Low-Resource Languages
P Golik, Z Tüske, R Schlüter, H Ney
Interspeech, 1260-1264, 2015
A comprehensive study of batch construction strategies for recurrent neural networks in MXNet
P Doetsch, P Golik, H Ney, 2017
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
Neural Speech Translation at AppTek
E Matusov, P Wilken, P Bahar, J Schamper, P Golik, A Zeyer, ...
International Workshop on Spoken Language Translation, 104-111, 2018
Neural Simultaneous Speech Translation Using Alignment-based Chunking
P Wilken, T Alkhouli, E Matusov, P Golik
IWSLT 2020, 237-246, 2020
Accented speech recognition: Benchmarking, pre-training, and diverse data
A Aksënova, Z Chen, CC Chiu, D van Esch, P Golik, W Han, L King, ...
arXiv preprint arXiv:2205.08014, 2022
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
The system can't perform the operation now. Try again later.
Articles 1–20