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Timo Lohrenz
Timo Lohrenz
PhD Student, Early Stage Researcher, TU Braunschweig
Bestätigte E-Mail-Adresse bei ifn.ing.tu-bs.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition
T Lohrenz, Z Li, T Fingscheidt
Interspeech, 2846-2850, 2021
202021
Beyond the DCASE2017 Challenge on Rare Sound Event Detection: A Proposal for a More Realistic Training and Test Framework
J Baumann, T Lohrenz, A Roy, T Fingscheidt
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
122020
Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition
T Lohrenz, P Schwarz, Z Li, T Fingscheidt
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021
112021
Turbo Fusion of Magnitude and Phase Information for DNN-based Phoneme Recognition
T Lohrenz, T Fingscheidt
Automatic Speech Recognition and Understanding Workshop (ASRU), 2017 IEEE …, 2017
92017
Relaxed Attention for Transformer Models
T Lohrenz, B Möller, Z Li, T Fingscheidt
2023 International Joint Conference on Neural Networks (IJCNN), 1-10, 2023
62023
A new DCASE 2017 rare sound event detection benchmark under equal training data: CRNN with multi-width kernels
J Baumann, P Meyer, T Lohrenz, A Roy, M Papendieck, T Fingscheidt
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
52021
A New TIMIT Benchmark for Context-Independent Phone Recognition Using Turbo Fusion
T Lohrenz, W Li, T Fingscheidt
2018 IEEE Spoken Language Technology Workshop (SLT), 498-505, 2018
52018
On Temporal Context Information for Hybrid BLSTM-Based Phoneme Recognition
T Lohrenz, M Strake, T Fingscheidt
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
42019
Densenet BLSTM for Acoustic Modeling in Robust ASR
M Strake, P Behr, T Lohrenz, T Fingscheidt
2018 IEEE Spoken Language Technology Workshop (SLT), 6-12, 2018
42018
BLSTM-Driven Stream Fusion for Automatic Speech Recognition: Novel Methods and a Multi-Size Window Fusion Example.
T Lohrenz, T Fingscheidt
INTERSPEECH, 26-30, 2020
32020
Parameter-efficient cross-language transfer learning for a language-modular audiovisual speech recognition
Z Li, T Graave, J Liu, T Lohrenz, S Kunzmann, T Fingscheidt
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023
22023
Transformer-Based Lip-Reading with Regularized Dropout and Relaxed Attention
Z Li, T Lohrenz, M Dunkelberg, T Fingscheidt
2022 IEEE Spoken Language Technology Workshop (SLT), 723-730, 2023
22023
An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition
Z Li, C Liang, T Lohrenz, M Sach, B Möller, T Fingscheidt
Proc. of Interspeech, 1583-1587, 2023
12023
DNN/CNN Acoustic Model Turbo Fusion for Phoneme Recognition
T Lohrenz, W Li, T Fingscheidt
Speech Communication; 13th ITG-Symposium, 1-5, 2018
12018
EXIT Charts for Turbo Automatic Speech Recognition: A Case Study
T Lohrenz, S Receveur, T Fingscheidt
Speech Communication; 12. ITG Symposium, 1-5, 2016
12016
Multi-Head Fusion Attention for Transformer-Based End-to-End Automatic Speech Recognition
T Lohrenz, P Schwarz, Z Li, T Fingscheidt
Speech Communication; 14th ITG Conference, 1-5, 2021
2021
Introducing Block-Wise Processing into Turbo Viterbi ASR
S Receveur, T Lohrenz, T Fingscheidt
Speech Communication; 12. ITG Symposium, 1-5, 2016
2016
Sprachdialogsysteme (Spoken Language Processing)(2013)(Modulnr.: ET-NT-54)
T Fingscheidt, T Lohrenz
Vorlesungsverzeichnis, 0
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