Low-Area Reed Decoding in a Generalized Concatenated Code Construction for PUFs. - Matthias Hiller; Ludwig Kurzinger; Georg Sigl; Sven Müelich; Sven Puchinger; Martin Bossert (ISVLSI, 2015)

Practical Aspects of Quantization and Tamper-Sensitivity for Physically Obfuscated Keys. - Vincent Immler; Maxim Hennig; Ludwig Kürzinger; Georg Sigl (CS2@HiPEAC, 2016)

Modular PUF Coding Chain with High-Speed Reed-Muller Decoder. - Holger Mandry; Andreas Herkle; Ludwig Kürzinger; Sven Müelich; Joachim Becker; Robert F. H. Fischer; Maurits Ortmanns (ISCAS, 2019)

Exploring Hybrid CTC/Attention End-to-End Speech Recognition with Gaussian Processes. - Ludwig Kürzinger; Tobias Watzel; Lujun Li 002; Robert Baumgartner; Gerhard Rigoll (SPECOM, 2019)

Deep Neural Network Quantizers Outperforming Continuous Speech Recognition Systems. - Tobias Watzel; Lujun Li 002; Ludwig Kürzinger; Gerhard Rigoll (SPECOM, 2019)

Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks. - Carina Vogl; Moritz Sackmann; Ludwig Kürzinger; Ulrich Hofmann 002 (CSCS, 2020)

Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions. - Simon Mittermaier; Ludwig Kürzinger; Bernd Waschneck; Gerhard Rigoll (ICASSP, 2020)

Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions. - Ludwig Kürzinger; Nicolas Lindae; Palle Klewitz; Gerhard Rigoll (INTERSPEECH, 2020)

MP3 Compression to Diminish Adversarial Noise in End-to-End Speech Recognition. - Iustina Andronic; Ludwig Kürzinger; Edgar Ricardo Chavez Rosas; Gerhard Rigoll; Bernhard U. Seeber (SPECOM, 2020)

Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition. - Ludwig Kürzinger; Edgar Ricardo Chavez Rosas; Lujun Li 002; Tobias Watzel; Gerhard Rigoll (SPECOM, 2020)

CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition. - Ludwig Kürzinger; Dominik Winkelbauer; Lujun Li 002; Tobias Watzel; Gerhard Rigoll (SPECOM, 2020)

Synchronized Forward-Backward Transformer for End-to-End Speech Recognition. - Tobias Watzel; Ludwig Kürzinger; Lujun Li 002; Gerhard Rigoll (SPECOM, 2020)

Review of error correction for PUFs and evaluation on state-of-the-art FPGAs. - Matthias Hiller; Ludwig Kürzinger; Georg Sigl (J. Cryptogr. Eng., 2020)

A Global Discriminant Joint Training Framework for Robust Speech Recognition. - Lujun Li 002; Ludwig Kürzinger; Tobias Watzel; Gerhard Rigoll (ICTAI, 2021)

Regularized Forward-Backward Decoder for Attention Models. - Tobias Watzel; Ludwig Kürzinger; Lujun Li 002; Gerhard Rigoll (SPECOM, 2021)

Induced Local Attention for Transformer Models in Speech Recognition. - Tobias Watzel; Ludwig Kürzinger; Lujun Li 002; Gerhard Rigoll (SPECOM, 2021)

Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing. - Lujun Li 002; Tobias Watzel; Ludwig Kürzinger; Gerhard Rigoll (IEEE Access, 2021)

Analysis of Communication Channels Related to Physical Unclonable Functions. - Georg Maringer; Marvin Xhemrishi; Sven Puchinger; Kathrin Garb; Hedongliang Liu; Thomas Jerkovits; Ludwig Kürzinger; Matthias Hiller; Antonia Wachter-Zeh (CoRR, 2021)

JTubeSpeech: corpus of Japanese speech collected from YouTube for speech recognition and speaker verification. - Shinnosuke Takamichi; Ludwig Kürzinger; Takaaki Saeki; Sayaka Shiota; Shinji Watanabe 001 (CoRR, 2021)

Adversarial joint training with self-attention mechanism for robust end-to-end speech recognition. - Lujun Li 002; Yikai Kang; Yuchen Shi; Ludwig Kürzinger; Tobias Watzel; Gerhard Rigoll (EURASIP J. Audio Speech Music. Process., 2021)

The Wiretap Channel for Capacitive PUF-Based Security Enclosures. - Kathrin Garb; Marvin Xhemrishi; Ludwig Kürzinger; Christoph Frisch (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2022)

Exploring Hybrid CTC/Attention End-to-End Speech Recognition: Adversarial Robustness, Sinc Convolutions, and CTC Segmentation. - Ludwig Kürzinger (2024)