Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech. - Daniel Korzekwa; Roberto Barra-Chicote; Bozena Kostek; Thomas Drugman; Mateusz Lajszczak (INTERSPEECH, 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 (NAACL-HLT (2), 2019)

Discrete Acoustic Space for an Efficient Sampling in Neural Text-To-Speech. - Marek Strelec; Jonas Rohnke; Antonio Bonafonte; Mateusz Lajszczak; Trevor Wood (IberSPEECH, 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 (ICASSP, 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 (INTERSPEECH, 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 (INTERSPEECH, 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; Ammar Abbas; Mateusz Lajszczak; Arnaud Joly; Sri Karlapati; Alexis Moinet; Thomas Drugman; Penny Karanasou (CoRR, 2022)

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; et al. (SSW, 2023)

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 (ICASSP, 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)

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; et al. (CoRR, 2024)