79 citations · 99 across the 6 of their papers we have counts for
9 papers
The Wiretap Channel for Capacitive PUF-Based Security Enclosures
Kathrin Garb, Marvin Xhemrishi, Ludwig Kürzinger +1
In order to protect devices from physical manipulations, protective security enclosures were developed. However, these battery-backed solutions come with a reduced lifetime, and ha…
JTubeSpeech: corpus of Japanese speech collected from YouTube for speech recognition and speaker verification
Shinnosuke Takamichi, Ludwig Kürzinger, Takaaki Saeki +2
In this paper, we construct a new Japanese speech corpus called "JTubeSpeech." Although recent end-to-end learning requires large-size speech corpora, open-sourced such corpora for…
Analysis of Communication Channels Related to Physical Unclonable Functions
Georg Maringer, Marvin Xhemrishi, Sven Puchinger +6
Cryptographic algorithms rely on the secrecy of their corresponding keys. On embedded systems with standard CMOS chips, where secure permanent memory such as flash is not available…
Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions
Ludwig Kürzinger, Nicolas Lindae, Palle Klewitz +1
Many end-to-end Automatic Speech Recognition (ASR) systems still rely on pre-processed frequency-domain features that are handcrafted to emulate the human hearing. Our work is moti…
MP3 Compression To Diminish Adversarial Noise in End-to-End Speech Recognition
Iustina Andronic, Ludwig Kürzinger, Edgar Ricardo Chavez Rosas +2
Audio Adversarial Examples (AAE) represent specially created inputs meant to trick Automatic Speech Recognition (ASR) systems into misclassification. The present work proposes MP3…
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition
Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Lujun Li +2
Recent advances in Automatic Speech Recognition (ASR) demonstrated how end-to-end systems are able to achieve state-of-the-art performance. There is a trend towards deeper neural n…
CTC-Segmentation of Large Corpora for German End-to-end Speech Recognition
Ludwig Kürzinger, Dominik Winkelbauer, Lujun Li +2
Recent end-to-end Automatic Speech Recognition (ASR) systems demonstrated the ability to outperform conventional hybrid DNN/ HMM ASR. Aside from architectural improvements in those…
Regularized Forward-Backward Decoder for Attention Models
Tobias Watzel, Ludwig Kürzinger, Lujun Li +1
Nowadays, attention models are one of the popular candidates for speech recognition. So far, many studies mainly focus on the encoder structure or the attention module to enhance t…
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions
Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck +1
Keyword Spotting (KWS) enables speech-based user interaction on smart devices. Always-on and battery-powered application scenarios for smart devices put constraints on hardware res…