Unsupervised word segmentation from noisy input. - Jahn Heymann; Oliver Walter; Reinhold Haeb-Umbach; Bhiksha Raj (ASRU, 2013)

Iterative Bayesian word segmentation for unsupervised vocabulary discovery from phoneme lattices. - Jahn Heymann; Oliver Walter; Reinhold Haeb-Umbach; Bhiksha Raj (ICASSP, 2014)

BLSTM supported GEV beamformer front-end for the 3RD CHiME challenge. - Jahn Heymann; Lukas Drude; Aleksej Chinaev; Reinhold Haeb-Umbach (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)

Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. - Aleksej Chinaev; Jahn Heymann; Lukas Drude; Reinhold Haeb-Umbach (ITG Symposium on Speech Communication, 2016)

Robust Online Multi-Channel Speech Recognition. - Markus Kitza; Albert Zeyer; Ralf Schlüter; Jahn Heymann; Reinhold Haeb-Umbach (ITG Symposium on Speech Communication, 2016)

Neural network based spectral mask estimation for acoustic beamforming. - Jahn Heymann; Lukas Drude; Reinhold Haeb-Umbach (ICASSP, 2016)

Optimizing neural-network supported acoustic beamforming by algorithmic differentiation. - Christoph Böddeker; Patrick Hanebrink; Lukas Drude; Jahn Heymann; Reinhold Haeb-Umbach (ICASSP, 2017)

Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system. - Jahn Heymann; Lukas Drude; Christoph Böddeker; Patrick Hanebrink; Reinhold Haeb-Umbach (ICASSP, 2017)

Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. - Janek Ebbers; Jahn Heymann; Lukas Drude; Thomas Glarner; Reinhold Haeb-Umbach; Bhiksha Raj (INTERSPEECH, 2017)

Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming. - Joerg Schmalenstroeer; Jahn Heymann; Lukas Drude; Christoph Böddeker; Reinhold Haeb-Umbach (MMSP, 2017)

On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming. - Christoph Böddeker; Patrick Hanebrink; Lukas Drude; Jahn Heymann; Reinhold Haeb-Umbach (CoRR, 2017)

A generic neural acoustic beamforming architecture for robust multi-channel speech processing. - Jahn Heymann; Lukas Drude; Reinhold Haeb-Umbach (Comput. Speech Lang., 2017)

NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. - Lukas Drude; Jahn Heymann; Christoph Böddeker; Reinhold Haeb-Umbach (ITG Symposium on Speech Communication, 2018)

Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming. - Jens Heitkaemper; Jahn Heymann; Reinhold Haeb-Umbach (ITG Symposium on Speech Communication, 2018)

Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. - Jahn Heymann; Michiel Bacchiani; Tara N. Sainath (ICASSP, 2018)

Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation. - Lukas Drude; Christoph Böddeker; Jahn Heymann; Reinhold Haeb-Umbach; Keisuke Kinoshita; Marc Delcroix; Tomohiro Nakatani (INTERSPEECH, 2018)

ESPnet: End-to-End Speech Processing Toolkit. - Shinji Watanabe 001; Takaaki Hori; Shigeki Karita; Tomoki Hayashi; Jiro Nishitoba; Yuya Unno; Nelson Enrique Yalta Soplin; Jahn Heymann; Matthew Wiesner; Nanxin Chen; Adithya Renduchintala; Tsubasa Ochiai (INTERSPEECH, 2018)

Frame-Online DNN-WPE Dereverberation. - Jahn Heymann; Lukas Drude; Reinhold Haeb-Umbach; Keisuke Kinoshita; Tomohiro Nakatani (IWAENC, 2018)

Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. - Jahn Heymann; Lukas Drude; Reinhold Haeb-Umbach; Keisuke Kinoshita; Tomohiro Nakatani (ICASSP, 2019)

Improving CTC Using Stimulated Learning for Sequence Modeling. - Jahn Heymann; Khe Chai Sim; Bo Li 028 (ICASSP, 2019)

Unsupervised Training of Neural Mask-Based Beamforming. - Lukas Drude; Jahn Heymann; Reinhold Haeb-Umbach (INTERSPEECH, 2019)

Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition. - Egor Lakomkin; Jahn Heymann; Ilya Sklyar; Simon Wiesler (INTERSPEECH, 2020)

Improving Speech Recognition of Compound-Rich Languages. - Prabhat Pandey; Volker Leutnant; Simon Wiesler; Jahn Heymann; Daniel Willett (INTERSPEECH, 2020)

Robust multi-channel speech recognition with neural network supported statistical beamforming. - Jahn Heymann (2020)

Multi-Channel Opus Compression for Far-Field Automatic Speech Recognition with a Fixed Bitrate Budget. - Lukas Drude; Jahn Heymann; Andreas Schwarz; Jean-Marc Valin (Interspeech, 2021)

Far-Field Automatic Speech Recognition. - Reinhold Haeb-Umbach; Jahn Heymann; Lukas Drude; Shinji Watanabe 001; Marc Delcroix; Tomohiro Nakatani (Proc. IEEE, 2021)

Being Greedy Does Not Hurt: Sampling Strategies for End-To-End Speech Recognition. - Jahn Heymann; Egor Lakomkin; Leif Rädel (ICASSP, 2022)

Towards Accurate and Real-Time End-of-Speech Estimation. - Yifeng Fan; Colin Vaz; Di He 004; Jahn Heymann; Viet Anh Trinh; Zhe Zhang; Venkatesh Ravichandran (ICASSP, 2023)

Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition. - Belen Alastruey; Lukas Drude; Jahn Heymann; Simon Wiesler (INTERSPEECH, 2023)

Conmer: Streaming Conformer Without Self-attention for Interactive Voice Assistants. - Martin Radfar; Paulina Lyskawa; Brandon Trujillo; Yi Xie; Kai Zhen; Jahn Heymann; Denis Filimonov; Grant P. Strimel; Nathan Susanj; Athanasios Mouchtaris (INTERSPEECH, 2023)