| Improved robustness to disfluencies in RNN-Transducer based speech recognition V Mendelev, T Raissi, G Camporese, M Giollo ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 19 | 2021 |
| HMM vs. CTC for automatic speech recognition: Comparison based on full-sum training from scratch T Raissi, W Zhou, S Berger, R Schlüter, H Ney 2022 IEEE Spoken Language Technology Workshop (SLT), 287-294, 2023 | 9 | 2023 |
| Extended pipeline for content-based feature engineering in music genre recognition T Raissi, A Tibo, P Bientinesi 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 9 | 2018 |
| Context-Dependent Acoustic Modeling without Explicit Phone Clustering T Raissi, E Beck, R Schlüter, H Ney Proc. Interspeech 2020, 4377-4381, DOI: 10.21437/Interspeech.2020-1244., 2020 | 8 | 2020 |
| Improving Factored Hybrid HMM Acoustic Modeling without State Tying T Raissi, E Beck, R Schlüter, H Ney ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Towards consistent hybrid HMM acoustic modeling T Raissi, E Beck, R Schlüter, H Ney arXiv preprint arXiv:2104.02387, 2021 | 4 | 2021 |
| Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think T Raissi, C Lüscher, M Gunz, R Schlüter, H Ney Proc. Interspeech 2023, 4938-4942, DOI: 10.21437/Interspeech.2023-970., 2023 | 3 | 2023 |
| 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, ... IEEE Speech Communication; 15th ITG Conference, DOI 10.30420/456164031, 161-165, 2023 | 2 | 2023 |
| End-To-End Training of a Neural HMM with Label and Transition Probabilities D Mann, T Raissi, W Michel, R Schlüter, H Ney 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | | 2023 |
| Sample drop detection for asynchronous devices distributed in space T Raissi, S Pascual, M Omologo 2020 28th European Signal Processing Conference (EUSIPCO), 815-819, 2021 | | 2021 |
| Automatic Seizure Type Detection Using Autoencoder-Based Features T Raissi | | |
Ralf SchlüterMachine Learning and Human Language Technology, Lehrstuhl Informatik 6, RWTH Aachen UniversityVerified email at cs.rwth-aachen.de
