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Ludwig Kurzinger
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2020 – today
- 2024
- [b1]Ludwig Kürzinger:
Exploring Hybrid CTC/Attention End-to-End Speech Recognition: Adversarial Robustness, Sinc Convolutions, and CTC Segmentation. Technical University of Munich, Germany, 2024 - 2022
- [j4]Kathrin Garb, Marvin Xhemrishi, Ludwig Kürzinger, Christoph Frisch:
The Wiretap Channel for Capacitive PUF-Based Security Enclosures. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2022(3): 165-191 (2022) - [i8]Kathrin Garb, Marvin Xhemrishi, Ludwig Kürzinger, Christoph Frisch:
The Wiretap Channel for Capacitive PUF-Based Security Enclosures. CoRR abs/2202.01508 (2022) - 2021
- [j3]Lujun Li, Tobias Watzel, Ludwig Kürzinger, Gerhard Rigoll:
Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing. IEEE Access 9: 39098-39110 (2021) - [j2]Lujun Li, Yikai Kang, Yuchen Shi, Ludwig Kürzinger, Tobias Watzel, Gerhard Rigoll:
Adversarial joint training with self-attention mechanism for robust end-to-end speech recognition. EURASIP J. Audio Speech Music. Process. 2021(1): 26 (2021) - [c15]Lujun Li, Ludwig Kürzinger, Tobias Watzel, Gerhard Rigoll:
A Global Discriminant Joint Training Framework for Robust Speech Recognition. ICTAI 2021: 544-551 - [c14]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Regularized Forward-Backward Decoder for Attention Models. SPECOM 2021: 786-794 - [c13]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Induced Local Attention for Transformer Models in Speech Recognition. SPECOM 2021: 795-806 - [i7]Georg Maringer, Marvin Xhemrishi, Sven Puchinger, Kathrin Garb, Hedongliang Liu, Thomas Jerkovits, Ludwig Kürzinger, Matthias Hiller, Antonia Wachter-Zeh:
Analysis of Communication Channels Related to Physical Unclonable Functions. CoRR abs/2112.02198 (2021) - [i6]Shinnosuke Takamichi, Ludwig Kürzinger, Takaaki Saeki, Sayaka Shiota, Shinji Watanabe:
JTubeSpeech: corpus of Japanese speech collected from YouTube for speech recognition and speaker verification. CoRR abs/2112.09323 (2021) - 2020
- [j1]Matthias Hiller, Ludwig Kürzinger, Georg Sigl:
Review of error correction for PUFs and evaluation on state-of-the-art FPGAs. J. Cryptogr. Eng. 10(3): 229-247 (2020) - [c12]Carina Vogl, Moritz Sackmann, Ludwig Kürzinger, Ulrich Hofmann:
Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks. CSCS 2020: 2:1-2:9 - [c11]Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll:
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions. ICASSP 2020: 7454-7458 - [c10]Ludwig Kürzinger, Nicolas Lindae, Palle Klewitz, Gerhard Rigoll:
Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions. INTERSPEECH 2020: 1659-1663 - [c9]Iustina Andronic, Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Gerhard Rigoll, Bernhard U. Seeber:
MP3 Compression to Diminish Adversarial Noise in End-to-End Speech Recognition. SPECOM 2020: 22-34 - [c8]Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Lujun Li, Tobias Watzel, Gerhard Rigoll:
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition. SPECOM 2020: 255-266 - [c7]Ludwig Kürzinger, Dominik Winkelbauer, Lujun Li, Tobias Watzel, Gerhard Rigoll:
CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition. SPECOM 2020: 267-278 - [c6]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Synchronized Forward-Backward Transformer for End-to-End Speech Recognition. SPECOM 2020: 646-656 - [i5]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Regularized Forward-Backward Decoder for Attention Models. CoRR abs/2006.08506 (2020) - [i4]Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Lujun Li, Tobias Watzel, Gerhard Rigoll:
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition. CoRR abs/2007.10723 (2020) - [i3]Iustina Andronic, Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Gerhard Rigoll, Bernhard U. Seeber:
MP3 Compression To Diminish Adversarial Noise in End-to-End Speech Recognition. CoRR abs/2007.12892 (2020) - [i2]Ludwig Kürzinger, Nicolas Lindae, Palle Klewitz, Gerhard Rigoll:
Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions. CoRR abs/2010.07597 (2020)
2010 – 2019
- 2019
- [c5]Holger Mandry, Andreas Herkle, Ludwig Kürzinger, Sven Müelich, Joachim Becker, Robert F. H. Fischer, Maurits Ortmanns:
Modular PUF Coding Chain with High-Speed Reed-Muller Decoder. ISCAS 2019: 1-5 - [c4]Ludwig Kürzinger, Tobias Watzel, Lujun Li, Robert Baumgartner, Gerhard Rigoll:
Exploring Hybrid CTC/Attention End-to-End Speech Recognition with Gaussian Processes. SPECOM 2019: 258-269 - [c3]Tobias Watzel, Lujun Li, Ludwig Kürzinger, Gerhard Rigoll:
Deep Neural Network Quantizers Outperforming Continuous Speech Recognition Systems. SPECOM 2019: 530-539 - [i1]Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll:
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions. CoRR abs/1911.02086 (2019) - 2016
- [c2]Vincent Immler, Maxim Hennig, Ludwig Kürzinger, Georg Sigl:
Practical Aspects of Quantization and Tamper-Sensitivity for Physically Obfuscated Keys. CS2@HiPEAC 2016: 13-18 - 2015
- [c1]Matthias Hiller, Ludwig Kurzinger, Georg Sigl, Sven Müelich, Sven Puchinger, Martin Bossert:
Low-Area Reed Decoding in a Generalized Concatenated Code Construction for PUFs. ISVLSI 2015: 143-148
Coauthor Index
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last updated on 2024-09-02 00:11 CEST by the dblp team
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