| 2023 | ICASSP | Towards Accurate and Real-Time End-of-Speech Estimation. | Yifeng Fan, Colin Vaz, Di He, Jahn Heymann, Viet Anh Trinh, Zhe Zhang, Venkatesh Ravichandran |
| 2023 | Interspeech | Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition. | Belen Alastruey, Lukas Drude, Jahn Heymann, Simon Wiesler |
| 2023 | Interspeech | 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 |
| 2022 | ICASSP | Being Greedy Does Not Hurt: Sampling Strategies for End-To-End Speech Recognition. | Jahn Heymann, Egor Lakomkin, Leif Rdel |
| 2021 | Interspeech | Multi-Channel Opus Compression for Far-Field Automatic Speech Recognition with a Fixed Bitrate Budget. | Lukas Drude, Jahn Heymann, Andreas Schwarz, Jean-Marc Valin |
| 2020 | Interspeech | Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition. | Egor Lakomkin, Jahn Heymann, Ilya Sklyar, Simon Wiesler |
| 2020 | Interspeech | Improving Speech Recognition of Compound-Rich Languages. | Prabhat Pandey, Volker Leutnant, Simon Wiesler, Jahn Heymann, Daniel Willett |
| 2019 | ICASSP | 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 |
| 2019 | ICASSP | Improving CTC Using Stimulated Learning for Sequence Modeling. | Jahn Heymann, Khe Chai Sim, Bo Li |
| 2019 | Interspeech | Unsupervised Training of Neural Mask-Based Beamforming. | Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach |
| 2018 | ICASSP | Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. | Jahn Heymann, Michiel Bacchiani, Tara N. Sainath |
| 2018 | Interspeech | Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation. | Lukas Drude, Christoph Bddeker, Jahn Heymann, Reinhold Haeb-Umbach, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani |
| 2018 | Interspeech | ESPnet: End-to-End Speech Processing Toolkit. | Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Jiro Nishitoba, Yuya Unno, Nelson Enrique Yalta Soplin, Jahn Heymann, Matthew Wiesner, Nanxin Chen, Adithya Renduchintala, Tsubasa Ochiai |
| 2017 | ICASSP | Optimizing neural-network supported acoustic beamforming by algorithmic differentiation. | Christoph Bddeker, Patrick Hanebrink, Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach |
| 2017 | ICASSP | Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system. | Jahn Heymann, Lukas Drude, Christoph Bddeker, Patrick Hanebrink, Reinhold Haeb-Umbach |
| 2017 | Interspeech | Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. | Janek Ebbers, Jahn Heymann, Lukas Drude, Thomas Glarner, Reinhold Haeb-Umbach, Bhiksha Raj |
| 2017 | MMSP | Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming. | Joerg Schmalenstroeer, Jahn Heymann, Lukas Drude, Christoph Bddeker, Reinhold Haeb-Umbach |
| 2016 | ICASSP | Neural network based spectral mask estimation for acoustic beamforming. | Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach |
| 2015 | ASRU | BLSTM supported GEV beamformer front-end for the 3RD CHiME challenge. | Jahn Heymann, Lukas Drude, Aleksej Chinaev, Reinhold Haeb-Umbach |
| 2015 | ICASSP | Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. | Jahn Heymann, Reinhold Haeb-Umbach, Pavel Golik, Ralf Schlter |
| 2014 | ICASSP | Iterative Bayesian word segmentation for unsupervised vocabulary discovery from phoneme lattices. | Jahn Heymann, Oliver Walter, Reinhold Haeb-Umbach, Bhiksha Raj |
| 2013 | ASRU | Unsupervised word segmentation from noisy input. | Jahn Heymann, Oliver Walter, Reinhold Haeb-Umbach, Bhiksha Raj |