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Jan Rennies
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2020 – today
- 2023
- [d1]Marvin Norda
, Christoph Engel, Jan Rennies, Jens-E. Appell, Sven Carsten Lange, Axel Hahn
:
measured_times_for_voice_control_efficiency_study. IEEE DataPort, 2023 - 2022
- [c12]Jana Roßbach, Rainer Huber
, Saskia Röttges, Christopher F. Hauth, Thomas Biberger, Thomas Brand, Bernd T. Meyer, Jan Rennies:
Speech Intelligibility Prediction for Hearing-Impaired Listeners with the LEAP Model. INTERSPEECH 2022: 3498-3502 - 2021
- [j1]Nils L. Westhausen
, Rainer Huber
, Hannah Baumgartner, Ragini Sinha, Jan Rennies, Bernd T. Meyer
:
Reduction of Subjective Listening Effort for TV Broadcast Signals With Recurrent Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3541-3550 (2021) - [i1]Nils L. Westhausen, Rainer Huber, Hannah Baumgartner, Ragini Sinha, Jan Rennies, Bernd T. Meyer:
Reduction of Subjective Listening Effort for TV Broadcast Signals with Recurrent Neural Networks. CoRR abs/2111.01914 (2021) - 2020
- [c11]Jan Rennies, Henning F. Schepker, Cassia Valentini-Botinhao, Martin Cooke:
Intelligibility-Enhancing Speech Modifications - The Hurricane Challenge 2.0. INTERSPEECH 2020: 1341-1345 - [c10]Felicitas Bederna, Henning F. Schepker, Christian Rollwage, Simon Doclo, Arne Pusch, Jörg Bitzer
, Jan Rennies:
Adaptive Compressive Onset-Enhancement for Improved Speech Intelligibility in Noise and Reverberation. INTERSPEECH 2020: 1351-1355
2010 – 2019
- 2018
- [c9]Rainer Huber, Arne Pusch, Niko Moritz, Jan Rennies, Henning F. Schepker, Bernd T. Meyer:
Objective Assessment of a Speech Enhancement Scheme with an Automatic Speech Recognition-Based System. ITG Symposium on Speech Communication 2018: 1-5 - 2016
- [c8]Tobias Bruns, Dirk Oetting, Markus Meis, Jan Rennies:
Method for analyzing personalized telephone speech in quiet and noisy environments in normal-hearing and hearing-impaired listeners. ITG Symposium on Speech Communication 2016: 1-5 - 2015
- [c7]Henning F. Schepker, David Hülsmeier, Jan Rennies, Simon Doclo:
Model-based integration of reverberation for noise-adaptive near-end listening enhancement. INTERSPEECH 2015: 75-79 - [c6]Jan Rennies, Andreas Volgenandt, Henning F. Schepker, Simon Doclo:
Model-based adaptive pre-processing of speech for enhanced intelligibility in noise and reverberation. INTERSPEECH 2015: 2619-2620 - 2014
- [c5]Stefan Goetze
, Anna Warzybok
, Ina Kodrasi
, Jan Ole Jungmann, Benjamin Cauchi, Jan Rennies, Emanuël A. P. Habets
, Alfred Mertins, Timo Gerkmann
, Simon Doclo
, Birger Kollmeier:
A study on speech quality and speech intelligibility measures for quality assessment of single-channel dereverberation algorithms. IWAENC 2014: 233-237 - 2013
- [c4]Henning F. Schepker, Jan Rennies, Simon Doclo:
Improving speech intelligibility in noise by SII-dependent preprocessing using frequency-dependent amplification and dynamic range compression. INTERSPEECH 2013: 3577-3581 - 2012
- [c3]Henning F. Schepker, François Xavier Nsabimana, Jan Rennies:
Non-Intrusive Objective Assessment of Speech Perception in Noisy Classrooms. ITG Conference on Speech Communication 2012: 1-4 - 2011
- [c2]Jan Rennies, Thomas Brand, Birger Kollmeier:
Prediction of Binaural Intelligibility Level Differences in Reverberation. INTERSPEECH 2011: 37-40 - 2010
- [c1]Jan Rennies
, Eugen Albertin, Stefan Goetze
, Jens-E. Appell:
Automatic Live Monitoring of Communication Quality for Normal-Hearing and Hearing-Impaired Listeners. ICCHP (2) 2010: 568-575
Coauthor Index
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