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Journal Articles
- 2023
[j2]Beáta Lorincz, Elena Irimia, Adriana Stan
, Verginica Barbu Mititelu:
RoLEX: The development of an extended Romanian lexical dataset and its evaluation at predicting concurrent lexical information. Nat. Lang. Eng. 29(3): 720-745 (2023)- 2022
- [j1]Dan Oneata, Beáta Lorincz, Adriana Stan, Horia Cucu:
FlexLip: A Controllable Text-to-Lip System. Sensors 22(11): 4104 (2022)
Conference and Workshop Papers
- 2021
- [c9]Beáta Lorincz, Adriana Stan, Mircea Giurgiu:
Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis. EUSIPCO 2021: 26-30 - [c8]Beáta Lorincz, Adriana Stan, Mircea Giurgiu:
An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis. KES 2021: 756-765 - [c7]Stefan Daniel Dumitrescu, Petru Rebeja, Beáta Lorincz, Mihaela Gaman, Andrei-Marius Avram, Mihai Ilie, Andrei Pruteanu, Adriana Stan, Lorena Rosia, Cristina Iacobescu, Luciana Morogan, George Dima, Gabriel Marchidan, Traian Rebedea, Madalina Chitez, Dani Yogatama, Sebastian Ruder, Radu Tudor Ionescu, Razvan Pascanu, Viorica Patraucean:
LiRo: Benchmark and leaderboard for Romanian language tasks. NeurIPS Datasets and Benchmarks 2021 - [c6]Beáta Lorincz, Bogdan Iudean, Andreea Vescan:
Experience report on teaching testing through gamification. EASEAI@ESEC/SIGSOFT FSE 2021: 15-22 - [c5]Adriana Stan, Beáta Lorincz, Maria Nutu, Mircea Giurgiu:
The MARA corpus: Expressivity in end-to-end TTS systems using synthesised speech data. SpeD 2021: 85-90 - 2020
- [c4]Beáta Lorincz, Maria Nutu, Adriana Stan, Mircea Giurgiu:
An Evaluation of Postfiltering for Deep Learning Based Speech Synthesis with Limited Data. IEEE Conf. on Intelligent Systems 2020: 437-442 - [c3]Beáta Lorincz:
Concurrent phonetic transcription, lexical stress assignment and syllabification with deep neural networks. KES 2020: 108-117 - 2019
- [c2]Beáta Lorincz, Maria Nutu, Adriana Stan:
Romanian Part of Speech Tagging using LSTM Networks. ICCP 2019: 223-228 - [c1]Maria Nutu, Beáta Lorincz, Adriana Stan:
Deep Learning for Automatic Diacritics Restoration in Romanian. ICCP 2019: 235-240
Informal and Other Publications
- 2022
- [i3]Dan Oneata, Beáta Lorincz, Adriana Stan, Horia Cucu:
FlexLip: A Controllable Text-to-Lip System. CoRR abs/2206.03206 (2022) - 2021
- [i2]Beáta Lorincz, Adriana Stan, Mircea Giurgiu:
Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis. CoRR abs/2106.01789 (2021) - [i1]Beáta Lorincz, Adriana Stan, Mircea Giurgiu:
An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis. CoRR abs/2106.01812 (2021)
Coauthor Index
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