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

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;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

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

Li, Lujun;Kurzinger, Ludwig;Watzel, Tobias;Rigoll, Gerhard
A Global Discriminant Joint Training Framework for Robust Speech Recognition
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)
IEEE
2021

Li, Lujun;Lu, Zhenxing;Watzel, Tobias;Kürzinger, Ludwig;Rigoll, Gerhard
Light-Weight Self-Attention Augmented Generative Adversarial Networks for Speech Enhancement
Electronics
2021
10
13
1586

Li, Lujun;Watzel, Tobias;Kuerzinger, Ludwig;Rigoll, Gerhard
Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing
IEEE Access
2021
9
39098--39110

Li, Lujun;Wudamu;Kürzinger, Ludwig;Watzel, Tobias;Rigoll, Gerhard
Lightweight End-to-End Speech Enhancement Generative Adversarial Network Using Sinc Convolutions
Applied Sciences
2021
11
16
7564

Li, Lujun;Zhou, Xiajun;Song, Zeen;Watzel, Tobias;Kürzinger, Ludwig;Rigoll, Gerhard
Deep neural fenonic baseform growing: A novel approach to construct HMM topologies for speech recognition
2020 International Conference on High Performance Computing Simulation (HPCS)
2021

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