326 citations · 790 across the 29 of their papers we have counts for
9 papers · 1 filter
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…
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Okan Köpüklü, Jiapeng Zheng, Hang Xu +1
Distracted drivers are more likely to fail to anticipate hazards, which result in car accidents. Therefore, detecting anomalies in drivers' actions (i.e., any action deviating from…
Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing
Okan Köpüklü, Stefan Hörmann, Fabian Herzog +2
Convolutional Neural Networks with 3D kernels (3D-CNNs) currently achieve state-of-the-art results in video recognition tasks due to their supremacy in extracting spatiotemporal fe…
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…