Picture of Ludwig Kürzinger

Dipl.-Ing. (Univ.) Ludwig Kürzinger

Technical University of Munich

Chair of Human-Machine Communication (Prof. Rigoll)

Postal address

Postal:
Theresienstr. 90
80333 München

Research Areas

• Sequence Classification
• Speech Recognition

  • Li, Lujun; Watzel, Tobias; Kuerzinger, Ludwig; Rigoll, Gerhard: Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing. IEEE Access 9, 2021, 39098--39110 more… Full text ( DOI )
  • Li, Lujun; Lu, Zhenxing; Watzel, Tobias; Kürzinger, Ludwig; Rigoll, Gerhard: Light-Weight Self-Attention Augmented Generative Adversarial Networks for Speech Enhancement. Electronics 10 (13), 2021, 1586 more… Full text ( DOI )
  • Li, Lujun; Kang, Yikai; Shi, Yuchen; Kürzinger, Ludwig; Watzel, Tobias; Rigoll, Gerhard: Adversarial Joint Training with Self-Attention Mechanism for Robust End-to-End Speech Recognition. arXiv preprint arXiv:2104.01471, 2021 more… Full text ( DOI )
  • Kürzinger, Ludwig; Lindae, Nicolas; Klewitz, Palle; Rigoll, Gerhard: Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions. 2020 more…
  • Watzel, Tobias; Kürzinger, Ludwig; Li, Lujun; Rigoll, Gerhard: Regularized Forward-Backward Decoder for Attention Models. 2020 more…
  • Hiller, M., Kürzinger, L.; Sigl, G.: Review of error correction for PUFs and evaluation on state-of-the-art FPGAs. Journal of Cryptographic Engineering, 2020 more… Full text ( DOI )
  • Kürzinger, Ludwig; Lindae, Nicolas; Klewitz, Palle; Rigoll, Gerhard: Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions. Proc. Interspeech 2020, 2020, 1659--1663 more… Full text ( DOI )
  • Vogl, Carina; Sackmann, Moritz; Kürzinger, Ludwig; Hofmann, Ulrich: Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks. In: Computer Science in Cars Symposium. Association for Computing Machinery, 2020 more…
  • Andronic, Iustina; Kürzinger, Ludwig; Chavez Rosas, Edgar Ricardo; Rigoll, Gerhard; Seeber, Bernhard U.: MP3 Compression to Diminish Adversarial Noise in End-to-End Speech Recognition. Speech and Computer, Springer International Publishing, 2020 more…
  • Kürzinger, Ludwig; Winkelbauer, Dominik; Li, Lujun; Watzel, Tobias; Rigoll, Gerhard: CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition. Speech and Computer, Springer International Publishing, 2020 more…
  • Kürzinger, Ludwig; Chavez Rosas, Edgar Ricardo; Li, Lujun; Watzel, Tobias; Rigoll, Gerhard: Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition. Speech and Computer, Springer International Publishing, 2020 more…
  • Watzel, Tobias; Kürzinger, Ludwig; Li, Lujun; Rigoll, Gerhard: Synchronized Forward-Backward Transformer for End-to-End Speech Recognition. Speech and Computer, Springer International Publishing, 2020 more…
  • Mittermaier, S.; Kürzinger, L.; Waschneck, B.; Rigoll.G.: Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions. 2019 more…
  • Kürzinger L., Watzel T., Li L., Baumgartner R., Rigoll G.: Exploring Hybrid CTC/Attention End-to-End Speech Recognition with Gaussian Processes. Proc. 21st International Conference on Speech and Computer SPECOM 2019, Springer, 2019Lecture Notes in Computer Science, pp. 258-269 more… Full text ( DOI )
  • Watzel T., Li L., Kürzinger L., Rigoll G.: Deep Neural Network Quantizers Outperforming Continuous Speech Recognition Systems. Proc. 21st International Conference on Speech and Computer SPECOM 2019, Springer, 2019Lecture Notes in Computer Science, pp. 530-539 more… Full text ( DOI )
  • Mandry, H.; Herkle, A.; L.; Kürzinger, L.; Müelich, S.; Becker, J.; Fischer, R.F.H.; Ortmanns, M.: Modular PUF Coding Chain with High-Speed Reed-Muller Decoder. International Symposium on Circuits and Systems, ISCAS 2019, 2019, pp. 1-5 more… Full text ( DOI )

Teaching

Mensch-Maschine-Kommunikation I (WS 2019)

Student projects

For inquiries regarding any student projects please apply using your most recent CV together with your grade report emphasizing your previous experience in this area and your desired starting date.

Open Topics

You can find all open topics here.

Finished Projects

2020
• Sinc. Convolutions for End-to-End Speech Recognition (Interdisplinary Project)
• Shallow Fusion for Attention-based Speech-Recognition (Interdisplinary Project)
• Investigation of Learnable Filters for Discrete Wavelet Decomposition (Research Internship)
• A Lightweight Deep Learning Model for Speech Command Recognition on Raw Audio Data (Master's Thesis)
• Variational Attention for End-to-End Speech Recognition (Master's Thesis)

2019
• Performance and Robustness of Distilled Neural Networks for Hybrid Speech Recognition (Master's Thesis)
• Self-Attention-basierte Spracherkennung (Scientific Seminar)
• Generative Adversarial Networks for Hybrid Speech Recognition in Pytorch-kaldi (Research Internship)
• Adversarial Training for Robust Speech Recognition in Pytorch-kaldi (Research Internship)
• Adversial Training for Improving Robustness in Hybrid Speech Recognition (Master´s Thesis)
• Speech Recognition using GANs (Bachelor´s Thesis)
• Performance and Robustness of Distilled Neural Networks for hybrid Speech Recognition (Master´s Thesis)
• Varaiational Attention for End-to-End Speech Recognition (Master´s Thesis)
• A Lightweight Deep Learning Model For Keyword Spotting On Raw Audio Data (Master´s Thesis)
• End-to-end Speech Recognition with Attention-based Models for German (Interdisplinary Project)
• Speech Recognition with Vector Quantized Attention-based Encoders (Interdisplinary Project)
• Generative Adverasarial Networks for hybrid Speech Recognition (Research Internship)
• Adversarial Training for Robust Hybrid Speech Recognition (Research Internship)
• Self-Attention and the Transformer (Scientific Seminar)

2018
• Keyword Detection for Personal Speech-to-Text Assistants (Master´s Thesis)
• Evaluation of Recurrent Neural Networks with Connectionist Temporal Classification for End-to-End Approaches to Speech Recognition (Master´s Thesis)
• Exploration of Generative Neural Networks for Hybrid Speech Recognition (Master´s Thesis)
• Bag-of-Words Classification of Spoken Languages using Vector Quantizers (Master´s Thesis)
• Defensive Distillation (Scientific Seminar)
• Speech Recognition using Machine Learning on a GPU Server (Research Internship)
• Adversarial Deep Learning on Speech-To-Text (Interdisplinary Project)
• A Kaldi Speech Recognition Input Method (Interdisplinary Project)
• Visualization of Speech Data in the Kaldi Speech Recognition Toolkit (Research Internship)
• Visualization of Attention Activations in the ESPnet Speech Recognition Toolkit (Research Internship)
• Gaussian Process Hyperparameter Optimization (Research Internship)
• Variational Autoencoders and Vector-Quantizing Autoencoders for Speech Data (Research Internship)

2017
• Post-Quantum-secure Asymmetric Encryption with QC-MDPC Codes for mbedTLS (Interdisciplinary Project)
• Implementation and Evaluation of the Post-Quantum Secure GPT Encryption Scheme for Embedded Systems (Master´s Thesis)
• Post-Quantum-secure Autentification based on the Learning Parity Problem (Master´s Thesis)
• Survey and Hardware Implementation of McEliece-Type Post-quantum Cryptography (Master´s Thesis)

2016
• Optimierung eines auf Verkettung basierenden Decodieralgorithmus für RM-Codes (Bachelor´s Thesis)