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Conference and Workshop Papers
- 2023
[c8]Daniel Mann, Tina Raissi, Wilfried Michel, Ralf Schlüter, Hermann Ney:
End-To-End Training of a Neural HMM with Label and Transition Probabilities. ASRU 2023: 1-8- [c7]Tina Raissi, Christoph Lüscher, Moritz Gunz, Ralf Schlüter, Hermann Ney:
Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think. INTERSPEECH 2023: 4938-4942 - 2022
- [c6]Tina Raissi, Eugen Beck, Ralf Schlüter
, Hermann Ney:
Improving Factored Hybrid HMM Acoustic Modeling without State Tying. ICASSP 2022: 7442-7446 - [c5]Tina Raissi, Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney:
HMM vs. CTC for Automatic Speech Recognition: Comparison Based on Full-Sum Training from Scratch. SLT 2022: 287-294 - 2021
- [c4]Valentin Mendelev, Tina Raissi, Guglielmo Camporese, Manuel Giollo:
Improved Robustness to Disfluencies in Rnn-Transducer Based Speech Recognition. ICASSP 2021: 6878-6882 - 2020
- [c3]Tina Raissi, Santiago Pascual, Maurizio Omologo:
Sample drop detection for asynchronous devices distributed in space. EUSIPCO 2020: 815-819 - [c2]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Context-Dependent Acoustic Modeling Without Explicit Phone Clustering. INTERSPEECH 2020: 4377-4381 - 2018
- [c1]Tina Raissi, Alessandro Tibo, Paolo Bientinesi:
Extended Pipeline for Content-Based Feature Engineering in Music Genre Recognition. ICASSP 2018: 2661-2665
Informal and Other Publications
- 2024
- [i10]Tina Raissi, Christoph Lüscher, Simon Berger, Ralf Schlüter, Hermann Ney:
Investigating the Effect of Label Topology and Training Criterion on ASR Performance and Alignment Quality. CoRR abs/2407.11641 (2024) - 2023
- [i9]Tina Raissi, Christoph Lüscher, Moritz Gunz, Ralf Schlüter, Hermann Ney:
Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think. CoRR abs/2306.09517 (2023) - [i8]Daniel Mann, Tina Raissi, Wilfried Michel, Ralf Schlüter, Hermann Ney:
End-to-End Training of a Neural HMM with Label and Transition Probabilities. CoRR abs/2310.02724 (2023) - 2022
- [i7]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Improving Factored Hybrid HMM Acoustic Modeling without State Tying. CoRR abs/2201.09692 (2022) - [i6]Tina Raissi, Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney:
HMM vs. CTC for Automatic Speech Recognition: Comparison Based on Full-Sum Training from Scratch. CoRR abs/2210.09951 (2022) - 2021
- [i5]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Towards Consistent Hybrid HMM Acoustic Modeling. CoRR abs/2104.02387 (2021) - 2020
- [i4]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Context-Dependent Acoustic Modeling without Explicit Phone Clustering. CoRR abs/2005.07578 (2020) - [i3]Valentin Mendelev, Tina Raissi, Guglielmo Camporese, Manuel Giollo:
Improved Robustness to Disfluencies in RNN-Transducer Based Speech Recognition. CoRR abs/2012.06259 (2020) - 2019
- [i2]Tina Raissi, Santiago Pascual, Maurizio Omologo:
Sample Drop Detection for Distant-speech Recognition with Asynchronous Devices Distributed in Space. CoRR abs/1911.06713 (2019) - 2018
- [i1]Tina Raissi, Alessandro Tibo, Paolo Bientinesi:
Extended pipeline for content-based feature engineering in music genre recognition. CoRR abs/1805.05324 (2018)
Coauthor Index
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