Mateusz Łajszczak
Mateusz Łajszczak
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Cited by
Interpretable deep learning model for the detection and reconstruction of dysarthric speech
D Korzekwa, R Barra-Chicote, B Kostek, T Drugman, M Lajszczak
arXiv preprint arXiv:1907.04743, 2019
In other news: A bi-style text-to-speech model for synthesizing newscaster voice with limited data
N Prateek, M Łajszczak, R Barra-Chicote, T Drugman, J Lorenzo-Trueba, ...
arXiv preprint arXiv:1904.02790, 2019
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data
M Łajszczak, G Cámbara, Y Li, F Beyhan, A van Korlaar, F Yang, A Joly, ...
arXiv preprint arXiv:2402.08093, 2024
Simple and effective multi-sentence TTS with expressive and coherent prosody
P Makarov, A Abbas, M Łajszczak, A Joly, S Karlapati, A Moinet, ...
arXiv preprint arXiv:2206.14643, 2022
CopyCat2: A single model for multi-speaker TTS and many-to-many fine-grained prosody transfer
S Karlapati, P Karanasou, M Lajszczak, A Abbas, A Moinet, P Makarov, ...
arXiv preprint arXiv:2206.13443, 2022
Distribution augmentation for low-resource expressive text-to-speech
M Lajszczak, A Prasad, A Van Korlaar, B Bollepalli, A Bonafonte, A Joly, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Controllable Emphasis with zero data for text-to-speech
A Joly, M Nicolis, E Peterova, A Lombardi, A Abbas, A van Korlaar, ...
arXiv preprint arXiv:2307.07062, 2023
Discrete acoustic space for an efficient sampling in neural text-to-speech
M Strong, J Rohnke, A Bonafonte, M Łajszczak, T Wood
arXiv preprint arXiv:2110.12539, 2021
Mapache: Masked Parallel Transformer for Advanced Speech Editing and Synthesis
G Cámbara, PL Tobing, M Babianski, R Vipperla, DWR Shmelkin, ...
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations
Á Martín-Cortinas, D Sáez-Trigueros, I Vallés-Pérez, B Tura-Vecino, ...
arXiv preprint arXiv:2402.03407, 2024
Mapache: Masked parallel transformer for advanced speech editing and synthesis
GC Ruiz, P Tobing, M Babianski, R chander Vipperla, D Wang, ...
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