Non-stationary feature extraction for automatic speech recognition. - Zoltán Tüske; Pavel Golik; Ralf Schlüter; Friedhelm R. Drepper (ICASSP, 2011)

Mobile music modeling, analysis and recognition. - Pavel Golik; Boulos Harb; Ananya Misra; Michael Riley 001; Alex Rudnick; Eugene Weinstein (ICASSP, 2012)

Cross-entropy vs. squared error training: a theoretical and experimental comparison. - Pavel Golik; Patrick Doetsch; Hermann Ney (INTERSPEECH, 2013)

Development of the RWTH transcription system for slovenian. - Pavel Golik; Zoltán Tüske; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2013)

RASR/NN: The RWTH neural network toolkit for speech recognition. - Simon Wiesler; Alexander Richard; Pavel Golik; Ralf Schlüter; Hermann Ney (ICASSP, 2014)

Data augmentation, feature combination, and multilingual neural networks to improve ASR and KWS performance for low-resource languages. - Zoltán Tüske; Pavel Golik; David Nolden; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2014)

Acoustic modeling with deep neural networks using raw time signal for LVCSR. - Zoltán Tüske; Pavel Golik; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2014)

Multilingual representations for low resource speech recognition and keyword search. - Jia Cui; Brian Kingsbury; Bhuvana Ramabhadran; Abhinav Sethy; Kartik Audhkhasi; Xiaodong Cui; Ellen Kislal; Lidia Mangu; Markus Nußbaum-Thom; Michael Picheny; Zoltán Tüske; Pavel Golik; et al. (ASRU, 2015)

Speaker adaptive joint training of Gaussian mixture models and bottleneck features. - Zoltán Tüske; Pavel Golik; Ralf Schlüter; Hermann Ney (ASRU, 2015)

Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. - Jahn Heymann; Reinhold Haeb-Umbach; Pavel Golik; Ralf Schlüter (ICASSP, 2015)

Investigations on sequence training of neural networks. - Simon Wiesler; Pavel Golik; Ralf Schlüter; Hermann Ney (ICASSP, 2015)

Convolutional neural networks for acoustic modeling of raw time signal in LVCSR. - Pavel Golik; Zoltán Tüske; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2015)

Multilingual features based keyword search for very low-resource languages. - Pavel Golik; Zoltán Tüske; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2015)

Automatic Speech Recognition Based on Neural Networks. - Ralf Schlüter; Patrick Doetsch; Pavel Golik; Markus Kitza; Tobias Menne; Kazuki Irie; Zoltán Tüske; Albert Zeyer (SPECOM, 2016)

Investigations on byte-level convolutional neural networks for language modeling in low resource speech recognition. - Kazuki Irie; Pavel Golik; Ralf Schlüter; Hermann Ney (ICASSP, 2017)

The 2016 RWTH Keyword Search System for Low-Resource Languages. - Pavel Golik; Zoltán Tüske; Kazuki Irie; Eugen Beck; Ralf Schlüter; Hermann Ney (SPECOM, 2017)

A comprehensive study of batch construction strategies for recurrent neural networks in MXNet. - Patrick Doetsch; Pavel Golik; Hermann Ney (CoRR, 2017)

MLLP-UPV and RWTH Aachen Spanish ASR Systems for the IberSpeech-RTVE 2018 Speech-to-Text Transcription Challenge. - Javier Jorge; Adria A. Martinez-Villaronga; Pavel Golik; Adrià Giménez; Joan Albert Silvestre-Cerdà; Patrick Doetsch; Vicent Andreu Císcar; Hermann Ney; Alfons Juan; Albert Sanchís (IberSPEECH, 2018)

Neural Speech Translation at AppTek. - Evgeny Matusov; Patrick Wilken; Parnia Bahar; Julian Schamper; Pavel Golik; Albert Zeyer; Joan Albert Silvestre-Cerdà; Adria A. Martinez-Villaronga; Hendrik Pesch; Jan-Thorsten Peter (IWSLT, 2018)

Cumulative Adaptation for BLSTM Acoustic Models. - Markus Kitza; Pavel Golik; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2019)

Domain Robust, Fast, and Compact Neural Language Models. - Alexander Gerstenberger; Kazuki Irie; Pavel Golik; Eugen Beck; Hermann Ney (ICASSP, 2020)

Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University. - Parnia Bahar; Patrick Wilken; Tamer Alkhouli; Andreas Guta; Pavel Golik; Evgeny Matusov; Christian Herold (IWSLT, 2020)

Neural Simultaneous Speech Translation Using Alignment-Based Chunking. - Patrick Wilken; Tamer Alkhouli; Evgeny Matusov; Pavel Golik (IWSLT, 2020)

Data-driven deep modeling and training for automatic speech recognition. - Pavel Golik (2020)

Accented Speech Recognition: Benchmarking, Pre-training, and Diverse Data. - Alëna Aksënova; Zhehuai Chen; Chung-Cheng Chiu; Daan van Esch; Pavel Golik; Wei Han 002; Levi King; Bhuvana Ramabhadran; Andrew Rosenberg; Suzan Schwartz; Gary Wang (CoRR, 2022)

Data Quality Issues in Multilingual Speech Datasets: The Need for Sociolinguistic Awareness and Proactive Language Planning. - Mingfei Lau; Qian Chen; Yeming Fang; Tingting Xu; Tongzhou Chen; Pavel Golik (ACL (1), 2025)