Tina Raissi
Tina Raissi
Geverifieerd e-mailadres voor hltpr.rwth-aachen.de
Geciteerd door
Geciteerd door
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
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
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
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
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
Towards consistent hybrid HMM acoustic modeling
T Raissi, E Beck, R Schlüter, H Ney
arXiv preprint arXiv:2104.02387, 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
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
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
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
Automatic Seizure Type Detection Using Autoencoder-Based Features
T Raissi
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