• Li, Lujun; Watzel, Tobias; Kuerzinger, Ludwig; Rigoll, Gerhard: Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing. IEEE Access 9, 2021, 39098--39110 more… Full text ( DOI )
• Li, Lujun; Wudamu; Kürzinger, Ludwig; Watzel, Tobias; Rigoll, Gerhard: Lightweight End-to-End Speech Enhancement Generative Adversarial Network Using Sinc Convolutions. Applied Sciences 11 (16), 2021, 7564 more… Full text ( DOI )
• Li, Lujun; Lu, Zhenxing; Watzel, Tobias; Kürzinger, Ludwig; Rigoll, Gerhard: Light-Weight Self-Attention Augmented Generative Adversarial Networks for Speech Enhancement. Electronics 10 (13), 2021, 1586 more… Full text ( DOI )
• 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 more… Full text ( DOI )
• 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 more…
• 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 more… Full text ( DOI )
• Watzel, Tobias; Kürzinger, Ludwig; Li, Lujun; Rigoll, Gerhard: Induced Local Attention for Transformer Models in Speech Recognition. International Conference on Speech and Computer, 2021 more… Full text (mediaTUM)
• Watzel, Tobias; Kürzinger, Ludwig; Li, Lujun; Rigoll, Gerhard: Regularized forward-backward decoder for attention models. International Conference on Speech and Computer, 2021 more… Full text (mediaTUM)
• Watzel, Tobias; Kürzinger, Ludwig; Li, Lujun; Rigoll, Gerhard: Regularized Forward-Backward Decoder for Attention Models. 2020 more…
• 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 more…
• 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 more…
• 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 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 )