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

  • 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

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)