Mateusz Lajszczak

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Prosodic Features

Top Venues

Publications

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