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Daniel Korzekwa
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Universal neural vocoding with parallel wavenet
Y Jiao, A Gabryś, G Tinchev, B Putrycz, D Korzekwa, V Klimkov
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
322021
Interpretable deep learning model for the detection and reconstruction of dysarthric speech
D Korzekwa, R Barra-Chicote, B Kostek, T Drugman, M Lajszczak
Interspeech 2019, 2019
202019
Non-autoregressive tts with explicit duration modelling for low-resource highly expressive speech
R Shah, K Pokora, A Ezzerg, V Klimkov, G Huybrechts, B Putrycz, ...
arXiv preprint arXiv:2106.12896, 2021
142021
Comprehensive evaluation of statistical speech waveform synthesis
T Merritt, B Putrycz, A Nadolski, T Ye, D Korzekwa, W Dolecki, T Drugman, ...
2018 IEEE Spoken Language Technology Workshop (SLT), 325-331, 2018
142018
Mispronunciation detection in non-native (L2) English with uncertainty modeling
D Korzekwa, J Lorenzo-Trueba, S Zaporowski, S Calamaro, T Drugman, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
82021
Detection of lexical stress errors in non-native (l2) english with data augmentation and attention
D Korzekwa, R Barra-Chicote, S Zaporowski, G Beringer, ...
arXiv preprint arXiv:2012.14788, 2020
72020
Weakly-supervised word-level pronunciation error detection in non-native English speech
D Korzekwa, J Lorenzo-Trueba, T Drugman, S Calamaro, B Kostek
arXiv preprint arXiv:2106.03494, 2021
62021
Enhancing audio quality for expressive Neural Text-to-Speech
A Ezzerg, A Gabrys, B Putrycz, D Korzekwa, D Saez-Trigueros, ...
arXiv preprint arXiv:2108.06270, 2021
42021
Constructing a dataset of speech recordings with lombard effect
D Weber, S Zaporowski, D Korzekwa
2020 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2020
42020
Text-Free Non-Parallel Many-To-Many Voice Conversion Using Normalising Flow
T Merritt, A Ezzerg, P Biliński, M Proszewska, K Pokora, R Barra-Chicote, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
32022
Deep learning model for automated assessment of lexical stress of non-native English speakers
D Korzekwa, B Kostek
The Journal of the Acoustical Society of America 146 (4), 2956-2957, 2019
32019
Computer-assisted pronunciation training—Speech synthesis is almost all you need
D Korzekwa, J Lorenzo-Trueba, T Drugman, B Kostek
Speech Communication 142, 22-33, 2022
22022
Text-to-speech (TTS) processing
AF Nadolski, D Korzekwa, TE Merritt, M Nicolis, B Putrycz, RB Chicote, ...
US Patent 10,699,695, 2020
22020
L2-GEN: A Neural Phoneme Paraphrasing Approach to L2 Speech Synthesis for Mispronunciation Diagnosis
DY Zhang, A Ganesan, S Campbell, D Korzekwa
Interspeech 2022, 2022
12022
Creating New Voices using Normalizing Flows
P Bilinski, T Merritt, A Ezzerg, K Pokora, S Cygert, K Yanagisawa, ...
Interspeech 2022, 2022
12022
Improving the expressiveness of neural vocoding with non-affine Normalizing Flows
A Gabryś, Y Jiao, V Klimkov, D Korzekwa, R Barra-Chicote
arXiv preprint arXiv:2106.08649, 2021
12021
Automated detection of pronunciation errors in non-native English speech employing deep learning
D Korzekwa
arXiv preprint arXiv:2209.06265, 2022
2022
Architektura zarządzania rozproszonego COBRA/CMIP w heterogenicznych sieciach TMN.
D Korzekwa
Studia Informatica 22 (3), 87-101, 2001
2001
Zastosowanie inteligentnych agentów jako alternatywa dla standardu zarządzania SNMP.
D Korzekwa
Studia Informatica 21 (1), 655-668, 2000
2000
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Articles 1–19