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Jahn Heymann
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2020 – today
- 2023
- [c27]Yifeng Fan, Colin Vaz, Di He, Jahn Heymann, Viet Anh Trinh, Zhe Zhang, Venkatesh Ravichandran
:
Towards Accurate and Real-Time End-of-Speech Estimation. ICASSP 2023: 1-5 - [c26]Martin Radfar, Paulina Lyskawa, Brandon Trujillo, Yi Xie, Kai Zhen, Jahn Heymann, Denis Filimonov, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris:
Conmer: Streaming Conformer Without Self-attention for Interactive Voice Assistants. INTERSPEECH 2023: 2198-2202 - [c25]Belen Alastruey, Lukas Drude, Jahn Heymann, Simon Wiesler:
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition. INTERSPEECH 2023: 4973-4977 - [i6]Belen Alastruey, Lukas Drude, Jahn Heymann, Simon Wiesler:
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition. CoRR abs/2306.06954 (2023) - 2022
- [c24]Jahn Heymann, Egor Lakomkin, Leif Rädel:
Being Greedy Does Not Hurt: Sampling Strategies for End-To-End Speech Recognition. ICASSP 2022: 7787-7791 - 2021
- [j2]Reinhold Haeb-Umbach
Far-Field Automatic Speech Recognition. Proc. IEEE 109(2): 124-148 (2021) - [c23]Lukas Drude, Jahn Heymann, Andreas Schwarz, Jean-Marc Valin:
Multi-Channel Opus Compression for Far-Field Automatic Speech Recognition with a Fixed Bitrate Budget. Interspeech 2021: 1669-1673 - [i5]Lukas Drude, Jahn Heymann, Andreas Schwarz
Multi-channel Opus compression for far-field automatic speech recognition with a fixed bitrate budget. CoRR abs/2106.07994 (2021) - 2020
- [b1]Jahn Heymann:
Robust multi-channel speech recognition with neural network supported statistical beamforming. University of Paderborn, Germany, 2020 - [c22]Egor Lakomkin, Jahn Heymann, Ilya Sklyar, Simon Wiesler:
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition. INTERSPEECH 2020: 3600-3604 - [c21]Prabhat Pandey, Volker Leutnant, Simon Wiesler, Jahn Heymann, Daniel Willett:
Improving Speech Recognition of Compound-Rich Languages. INTERSPEECH 2020: 4936-4940 - [i4]Egor Lakomkin, Jahn Heymann, Ilya Sklyar, Simon Wiesler:
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition. CoRR abs/2008.04034 (2020)
2010 – 2019
- 2019
- [c20]Jahn Heymann, Khe Chai Sim, Bo Li:
Improving CTC Using Stimulated Learning for Sequence Modeling. ICASSP 2019: 5701-5705 - [c19]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita
Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. ICASSP 2019: 6655-6659 - [c18]Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
Unsupervised Training of Neural Mask-Based Beamforming. INTERSPEECH 2019: 1253-1257 - [i3]Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
Unsupervised training of neural mask-based beamforming. CoRR abs/1904.01578 (2019) - 2018
- [c17]Lukas Drude, Jahn Heymann, Christoph Böddeker, Reinhold Haeb-Umbach:
NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. ITG Symposium on Speech Communication 2018: 1-5 - [c16]Jens Heitkaemper, Jahn Heymann, Reinhold Haeb-Umbach:
Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming. ITG Symposium on Speech Communication 2018: 1-5 - [c15]Jahn Heymann, Michiel Bacchiani, Tara N. Sainath:
Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. ICASSP 2018: 6722-6726 - [c14]Shinji Watanabe
ESPnet: End-to-End Speech Processing Toolkit. INTERSPEECH 2018: 2207-2211 - [c13]Lukas Drude, Christoph Böddeker, Jahn Heymann, Reinhold Haeb-Umbach
Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation. INTERSPEECH 2018: 3043-3047 - [c12]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach
Frame-Online DNN-WPE Dereverberation. IWAENC 2018: 466-470 - [i2]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:
ESPnet: End-to-End Speech Processing Toolkit. CoRR abs/1804.00015 (2018) - 2017
- [j1]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach
A generic neural acoustic beamforming architecture for robust multi-channel speech processing. Comput. Speech Lang. 46: 374-385 (2017) - [c11]Christoph Böddeker, Patrick Hanebrink, Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach
Optimizing neural-network supported acoustic beamforming by algorithmic differentiation. ICASSP 2017: 171-175 - [c10]Jahn Heymann, Lukas Drude, Christoph Böddeker, Patrick Hanebrink, Reinhold Haeb-Umbach
Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system. ICASSP 2017: 5325-5329 - [c9]Janek Ebbers, Jahn Heymann, Lukas Drude, Thomas Glarner, Reinhold Haeb-Umbach
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH 2017: 488-492 - [c8]Joerg Schmalenstroeer, Jahn Heymann, Lukas Drude, Christoph Böddeker, Reinhold Haeb-Umbach
Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming. MMSP 2017: 1-6 - [i1]Christoph Böddeker, Patrick Hanebrink, Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming. CoRR abs/1701.00392 (2017) - 2016
- [c7]Aleksej Chinaev, Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach:
Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. ITG Symposium on Speech Communication 2016: 1-5 - [c6]Markus Kitza, Albert Zeyer, Ralf Schlüter, Jahn Heymann, Reinhold Haeb-Umbach:
Robust Online Multi-Channel Speech Recognition. ITG Symposium on Speech Communication 2016: 1-5 - [c5]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach
Neural network based spectral mask estimation for acoustic beamforming. ICASSP 2016: 196-200 - 2015
- [c4]Jahn Heymann, Lukas Drude, Aleksej Chinaev
BLSTM supported GEV beamformer front-end for the 3RD CHiME challenge. ASRU 2015: 444-451 - [c3]Jahn Heymann, Reinhold Haeb-Umbach
Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. ICASSP 2015: 5053-5057 - 2014
- [c2]Jahn Heymann, Oliver Walter, Reinhold Haeb-Umbach
Iterative Bayesian word segmentation for unsupervised vocabulary discovery from phoneme lattices. ICASSP 2014: 4057-4061 - 2013
- [c1]Jahn Heymann, Oliver Walter, Reinhold Haeb-Umbach
Unsupervised word segmentation from noisy input. ASRU 2013: 458-463
Coauthor Index
aka: Reinhold Haeb-Umbach
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