Mateusz Lajszczak

According to our database, Mateusz Lajszczak authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data.

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

CoRR, 2024

Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations.

Álvaro Martín-Cortinas, Daniel Sáez-Trigueros, Iván Vallés-Pérez, Biel Tura Vecino, Piotr Bilinski, Mateusz Lajszczak, Grzegorz Beringer, Roberto Barra-Chicote, Jaime Lorenzo-Trueba

CoRR, 2024

Mapache: Masked Parallel Transformer for Advanced Speech Editing and Synthesis.

Guillermo Cámbara, Patrick Lumban Tobing, Mikolaj Babianski, Ravichander Vipperla, Duo Wang, Ron Shmelkin, Giuseppe Coccia, Orazio Angelini, Arnaud Joly, Mateusz Lajszczak, Vincent Pollet

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Controllable Emphasis with zero data for text-to-speech.

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

Proceedings of the 12th ISCA Speech Synthesis Workshop, 2023

2022

Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody.

Peter Makarov, Ammar Abbas, Mateusz Lajszczak, Arnaud Joly, Sri Karlapati, Alexis Moinet, Thomas Drugman, Penny Karanasou

CoRR, 2022

CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer.

Sri Karlapati, Penny Karanasou, Mateusz Lajszczak, Ammar Abbas, Alexis Moinet, Peter Makarov, Ray Li, Arent van Korlaar, Simon Slangen, Thomas Drugman

CoRR, 2022

Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody.

Peter Makarov, Syed Ammar Abbas, Mateusz Lajszczak, Arnaud Joly, Sri Karlapati, Alexis Moinet, Thomas Drugman, Penny Karanasou

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer.

Sri Karlapati, Penny Karanasou, Mateusz Lajszczak, Syed Ammar Abbas, Alexis Moinet, Peter Makarov, Ray Li, Arent van Korlaar, Simon Slangen, Thomas Drugman

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Distribution Augmentation for Low-Resource Expressive Text-To-Speech.

Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova

Proceedings of the IEEE International Conference on Acoustics, 2022

Discrete Acoustic Space for an Efficient Sampling in Neural Text-To-Speech.

Marek Strelec, Jonas Rohnke, Antonio Bonafonte, Mateusz Lajszczak, Trevor Wood

Proceedings of the 6th International Conference, 2022

2019

In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data.

Nishant Prateek, Mateusz Lajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech.

Daniel Korzekwa, Roberto Barra-Chicote, Bozena Kostek, Thomas Drugman, Mateusz Lajszczak

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019