Ctc-segmentation of large corpora for german end-to-end speech recognition L Kürzinger, D Winkelbauer, L Li, T Watzel, G Rigoll International Conference on Speech and Computer, 267-278, 2020 | 110 | 2020 |
Adversarial joint training with self-attention mechanism for robust end-to-end speech recognition L Li, Y Kang, Y Shi, L Kürzinger, T Watzel, G Rigoll EURASIP Journal on Audio, Speech, and Music Processing 2021, 1-16, 2021 | 22 | 2021 |
Light-weight self-attention augmented generative adversarial networks for speech enhancement L Li, Z Lu, T Watzel, L Kürzinger, G Rigoll Electronics 10 (13), 1586, 2021 | 9 | 2021 |
Lightweight End-to-End Speech Enhancement Generative Adversarial Network Using Sinc Convolutions L Li, Wudamu, L Kuerzinger, T Watzel, G Rigoll Applied Sciences 11 (16), 7564, 2021 | 8 | 2021 |
Audio adversarial examples for robust hybrid ctc/attention speech recognition L Kürzinger, ER Chavez Rosas, L Li, T Watzel, G Rigoll International Conference on Speech and Computer, 255-266, 2020 | 5 | 2020 |
Exploring Hybrid CTC/Attention end-to-end speech recognition with gaussian processes L Kürzinger, T Watzel, L Li, R Baumgartner, G Rigoll International Conference on Speech and Computer, 258-269, 2019 | 5 | 2019 |
Deep neural network quantizers outperforming continuous speech recognition systems T Watzel, L Li, L Kürzinger, G Rigoll Speech and Computer: 21st International Conference, SPECOM 2019, Istanbul …, 2019 | 4 | 2019 |
Induced local attention for transformer models in speech recognition T Watzel, L Kürzinger, L Li, G Rigoll International Conference on Speech and Computer, 795-806, 2021 | 3 | 2021 |
Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing L Li, T Watzel, L Kuerzinger, G Rigoll IEEE Access 9, 39098-39110, 2021 | 3 | 2021 |
Efficient Interaction-Aware Trajectory Prediction Model Based on Multi-head Attention Z Peng, J Yan, H Yin, Y Wen, W Ge, T Watzel, G Rigoll Automotive Innovation 7 (2), 258-270, 2024 | 2 | 2024 |
Regularized forward-backward decoder for attention models T Watzel, L Kürzinger, L Li, G Rigoll International Conference on Speech and Computer, 786-794, 2021 | 2 | 2021 |
Synchronized forward-backward transformer for end-to-end speech recognition T Watzel, L Kürzinger, L Li, G Rigoll International Conference on Speech and Computer, 646-656, 2020 | 1 | 2020 |
Enhancements for Hybrid and End-to-End Speech Recognition Architectures T Watzel Technische Universität München, 2023 | | 2023 |
A Global Discriminant Joint Training Framework for Robust Speech Recognition L Li, L Kürzinger, T Watzel, G Rigoll 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | | 2021 |
Deep neural fenonic baseform growing: A novel approach to construct HMM topologies for speech recognition L Li, X Zhou, Z Song, T Watzel, L Kürzinger, G Rigoll 2020 International Conference on High Performance Computing Simulation (HPCS), 2021 | | 2021 |
Performance Comparison of Deep Neural Network Quantizers to Continuous ASR Systems T Watzel, G Rigoll Fortschritte der Akustik--DAGA'19, pp. 947-949, 2019 | | 2019 |