关注
Christoph M. Lüscher
Christoph M. Lüscher
Speech Scientist, AppTek and Research Assistant, RWTH Aachen University
在 cs.rwth-aachen.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
RWTH ASR systems for LibriSpeech: Hybrid vs Attention
C Lüscher, E Beck, K Irie, M Kitza, W Michel, A Zeyer, R Schlüter, H Ney
Interspeech, Graz, Austria, 2019
296*2019
Conformer-based hybrid ASR system for Switchboard dataset
M Zeineldeen, J Xu, C Lüscher, W Michel, A Gerstenberger, R Schlüter, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
272022
Improving the Training Recipe for a Robust Conformer-based Hybrid Model
M Zeineldeen, J Xu, C Lüscher, R Schlüter, H Ney
arXiv preprint arXiv:2206.12955, 2022
172022
On Architectures and Training for Raw Waveform Feature Extraction in ASR
P Vieting, C Lüscher, W Michel, R Schlüter, H Ney
IEEE ASRU, 2021
72021
Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think
T Raissi, C Lüscher, M Gunz, R Schlüter, H Ney
arXiv preprint arXiv:2306.09517, 2023
52023
Enhancing and Adversarial: Improve ASR with Speaker Labels
W Zhou, H Wu, J Xu, M Zeineldeen, C Lüscher, R Schlüter, H Ney
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
52023
Improving And Analyzing Neural Speaker Embeddings for ASR
C Lüscher, J Xu, M Zeineldeen, R Schlüter, H Ney
arXiv preprint arXiv:2301.04571, 2023
4*2023
Efficient Utilization of Large Pre-Trained Models for Low Resource ASR
P Vieting, C Lüscher, J Dierkes, R Schlüter, H Ney
2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023
32023
Development of hybrid ASR systems for low resource medical domain conversational telephone speech
C Lüscher, M Zeineldeen, Z Yang, T Raissi, P Vieting, K Le-Duc, W Wang, ...
Speech Communication; 15th ITG Conference, 161-165, 2023
22023
Efficient use of large pre-trained models for low resource ASR
P Vieting, C Lüscher, J Dierkes, R Schlüter, H Ney
ICASSP Workshop,(Rhodes, Greece), IEEE, 2023
22023
Investigating the Effect of Label Topology and Training Criterion on ASR Performance and Alignment Quality
T Raissi, C Lüscher, S Berger, R Schlüter, H Ney
arXiv preprint arXiv:2407.11641, 2024
2024
Feature Replacement and Combination for Hybrid ASR Systems.
P Vieting, C Lüscher, W Michel, R Schlüter, H Ney
CoRR, 2021
2021
系统目前无法执行此操作，请稍后再试。
文章 1–12