Jahn Heymann

According to our database¹, Jahn Heymann authored at least 30 papers between 2013 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2023

Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Accurate and Real-Time End-of-Speech Estimation.

[BibT_eX]

[DOI]

Venkatesh Ravichandran

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Being Greedy Does Not Hurt: Sampling Strategies for End-To-End Speech Recognition.

[BibT_eX]

[DOI]

Jahn Heymann

Egor Lakomkin

Leif Rädel

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Far-Field Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proc. IEEE, 2021

Multi-Channel Opus Compression for Far-Field Automatic Speech Recognition with a Fixed Bitrate Budget.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020

Robust multi-channel speech recognition with neural network supported statistical beamforming.

[BibT_eX]

[DOI]

Jahn Heymann

PhD thesis, 2020

Improving Speech Recognition of Compound-Rich Languages.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

2019

Unsupervised Training of Neural Mask-Based Beamforming.

[BibT_eX]

[DOI]

Lukas Drude

Jahn Heymann

Reinhold Haeb-Umbach

Proceedings of the Interspeech 2019, 2019

Improving CTC Using Stimulated Learning for Sequence Modeling.

[BibT_eX]

[DOI]

Jahn Heymann

Khe Chai Sim

Bo Li

Proceedings of the IEEE International Conference on Acoustics, 2019

Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Frame-Online DNN-WPE Dereverberation.

[BibT_eX]

[DOI]

Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

ESPnet: End-to-End Speech Processing Toolkit.

[BibT_eX]

[DOI]

Nelson Enrique Yalta Soplin

Jahn Heymann

Matthew Wiesner

Nanxin Chen

Adithya Renduchintala

Tsubasa Ochiai

Proceedings of the Interspeech 2018, 2018

Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2018, 2018

Performance of Mask Based Statistical Beamforming in a Smart Home Scenario.

[BibT_eX]

[DOI]

Jahn Heymann

Michiel Bacchiani

Tara N. Sainath

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming.

[BibT_eX]

[DOI]

Jens Heitkaemper

Jahn Heymann

Reinhold Haeb-Umbach

Proceedings of the 13th ITG Symposium on Speech Communication, 2018

NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing.

[BibT_eX]

[DOI]

Proceedings of the 13th ITG Symposium on Speech Communication, 2018

2017

A generic neural acoustic beamforming architecture for robust multi-channel speech processing.

[BibT_eX]

[DOI]

Jahn Heymann

Lukas Drude

Reinhold Haeb-Umbach

Comput. Speech Lang., 2017

On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming.

[BibT_eX]

[DOI]

CoRR, 2017

Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming.

[BibT_eX]

[DOI]

Joerg Schmalenstroeer

Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2017, 2017

Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Optimizing neural-network supported acoustic beamforming by algorithmic differentiation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Neural network based spectral mask estimation for acoustic beamforming.

[BibT_eX]

[DOI]

Jahn Heymann

Lukas Drude

Reinhold Haeb-Umbach

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Robust Online Multi-Channel Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 12th ITG Symposium on Speech Communication, 2016

Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs.

[BibT_eX]

[DOI]

Proceedings of the 12th ITG Symposium on Speech Communication, 2016

2015

Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

BLSTM supported GEV beamformer front-end for the 3RD CHiME challenge.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014

Iterative Bayesian word segmentation for unsupervised vocabulary discovery from phoneme lattices.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Unsupervised word segmentation from noisy input.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

Jahn Heymann

Timeline

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