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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
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
May
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
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
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
Kürzinger L., Watzel T., Li L., Baumgartner R., Rigoll G.
Exploring Hybrid CTC/Attention End-to-End Speech Recognition with Gaussian Processes
pp. 258-269
Proc. 21st International Conference on Speech and Computer SPECOM 2019
Lecture Notes in Computer Science
Springer
2019
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
pp. 1-5
International Symposium on Circuits and Systems, ISCAS 2019
2019
Watzel T., Li L., Kürzinger L., Rigoll G.
Deep Neural Network Quantizers Outperforming Continuous Speech Recognition Systems
pp. 530-539
Proc. 21st International Conference on Speech and Computer SPECOM 2019
Lecture Notes in Computer Science
Springer
2019
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
Mittermaier, S.; Kürzinger, L.; Waschneck, B.; Rigoll.G.
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions
2019
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