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
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
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
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
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
Creating New Voices using Normalizing Flows
P Bilinski, T Merritt, A Ezzerg, K Pokora, S Cygert, K Yanagisawa, ...
Interspeech 2022, 2022
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
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
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
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
Varying speaking styles with neural textto-speech
T Wood, T Merritt
Alexa Blogs, Nov 19, 2018
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
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
Text-to-speech (TTS) processing
AF Nadolski, D Korzekwa, TE Merritt, M Nicolis, B Putrycz, RB Chicote, ...
US Patent 10,699,695, 2020
Remap, warp and attend: Non-parallel many-to-many accent conversion with normalizing flows
A Ezzerg, T Merritt, K Yanagisawa, P Bilinski, M Proszewska, K Pokora, ...
2022 IEEE Spoken Language Technology Workshop (SLT), 984-990, 2023
Constructing a dataset of speech recordings with lombard effect
D Weber, S Zaporowski, D Korzekwa
2020 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2020
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_Supplement), 2956-2957, 2019
AE-Flow: AutoEncoder Normalizing Flow
J Mosiński, P Biliński, T Merritt, A Ezzerg, D Korzekwa
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
On granularity of prosodic representations in expressive text-to-speech
M Babiański, K Pokora, R Shah, R Sienkiewicz, D Korzekwa, V Klimkov
2022 IEEE Spoken Language Technology Workshop (SLT), 892-899, 2023
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech
G Zhang, T Merritt, MS Ribeiro, B Tura-Vecino, K Yanagisawa, K Pokora, ...
arXiv preprint arXiv:2307.16679, 2023
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