Mateusz Lajszczak

17 papers A 3Misc 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data.
CoRR
Mateusz Lajszczak, Guillermo Cámbara, Yang Li, Fatih Beyhan, Arent van Korlaar, Fan Yang, Arnaud Joly, Álvaro Martín-Cortinas, Ammar Abbas, Adam Michalski, Alexis Moinet, Sri Karlapati, Ewa Muszynska, Haohan Guo, Bartosz Putrycz, Soledad López Gambino, Kayeon Yoo, Elena Sokolova, Thomas Drugman
2024 J jnl
Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations.
CoRR
Álvaro Martín-Cortinas, Daniel Sáez-Trigueros, Iván Vallés-Pérez, Biel Tura Vecino, Piotr Bilinski, Mateusz Lajszczak, Grzegorz Beringer, Roberto Barra-Chicote, Jaime Lorenzo-Trueba
2024 Misc conf
Mapache: Masked Parallel Transformer for Advanced Speech Editing and Synthesis.
ICASSP
Guillermo Cámbara, Patrick Lumban Tobing, Mikolaj Babianski, Ravichander Vipperla, Duo Wang, Ron Shmelkin, Giuseppe Coccia, Orazio Angelini, Arnaud Joly, Mateusz Lajszczak, Vincent Pollet
2023 — conf
Controllable Emphasis with zero data for text-to-speech.
SSW
Arnaud Joly, Marco Nicolis, Ekaterina Peterova, Alessandro Lombardi, Ammar Abbas, Arent van Korlaar, Aman Hussain, Parul Sharma, Alexis Moinet, Mateusz Lajszczak, Penny Karanasou, Antonio Bonafonte, Thomas Drugman, Elena Sokolova
2023 J jnl
Controllable Emphasis with zero data for text-to-speech.
CoRR
Arnaud Joly, Marco Nicolis, Ekaterina Peterova, Alessandro Lombardi, Ammar Abbas, Arent van Korlaar, Aman Hussain, Parul Sharma, Alexis Moinet, Mateusz Lajszczak, Penny Karanasou, Antonio Bonafonte, Thomas Drugman, Elena Sokolova
2022 A conf
CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer.
INTERSPEECH
Sri Karlapati, Penny Karanasou, Mateusz Lajszczak, Syed Ammar Abbas, Alexis Moinet, Peter Makarov, Ray Li, Arent van Korlaar, Simon Slangen, Thomas Drugman
2022 J jnl
CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer.
CoRR
Sri Karlapati, Penny Karanasou, Mateusz Lajszczak, Ammar Abbas, Alexis Moinet, Peter Makarov, Ray Li, Arent van Korlaar, Simon Slangen, Thomas Drugman
2022 — conf
Discrete Acoustic Space for an Efficient Sampling in Neural Text-To-Speech.
IberSPEECH
Marek Strelec, Jonas Rohnke, Antonio Bonafonte, Mateusz Lajszczak, Trevor Wood
2022 Misc conf
Distribution Augmentation for Low-Resource Expressive Text-To-Speech.
ICASSP
Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova
2022 J jnl
Distribution augmentation for low-resource expressive text-to-speech.
CoRR
Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova
2022 A conf
Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody.
INTERSPEECH
Peter Makarov, Syed Ammar Abbas, Mateusz Lajszczak, Arnaud Joly, Sri Karlapati, Alexis Moinet, Thomas Drugman, Penny Karanasou
2022 J jnl
Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody.
CoRR
Peter Makarov, Ammar Abbas, Mateusz Lajszczak, Arnaud Joly, Sri Karlapati, Alexis Moinet, Thomas Drugman, Penny Karanasou
2021 J jnl
Discrete acoustic space for an efficient sampling in neural text-to-speech.
CoRR
Marek Strelec, Jonas Rohnke, Antonio Bonafonte, Mateusz Lajszczak, Trevor Wood
2019 J jnl
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data.
CoRR
Nishant Prateek, Mateusz Lajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood
2019 — conf
In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data.
NAACL-HLT (2)
Nishant Prateek, Mateusz Lajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood
2019 A conf
Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech.
INTERSPEECH
Daniel Korzekwa, Roberto Barra-Chicote, Bozena Kostek, Thomas Drugman, Mateusz Lajszczak
2019 J jnl
Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech.
CoRR
Daniel Korzekwa, Roberto Barra-Chicote, Bozena Kostek, Thomas Drugman, Mateusz Lajszczak