Comprehensive Evaluation of Statistical Speech Waveform Synthesis. - Thomas Merritt; Bartosz Putrycz; Adam Nadolski; Tianjun Ye; Daniel Korzekwa; Wiktor Dolecki; Thomas Drugman; Viacheslav Klimkov; Alexis Moinet; Andrew Breen; Rafal Kuklinski; Nikko Strom; et al. (SLT, 2018)

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)

Constructing a Dataset of Speech Recordings with Lombard Effect. - Dawid Weber; Szymon Zaporowski; Daniel Korzekwa (SPA, 2020)

Universal Neural Vocoding with Parallel Wavenet. - Yunlong Jiao; Adam Gabrys; Georgi Tinchev; Bartosz Putrycz; Daniel Korzekwa; Viacheslav Klimkov (ICASSP, 2021)

Mispronunciation Detection in Non-Native (L2) English with Uncertainty Modeling. - Daniel Korzekwa; Jaime Lorenzo-Trueba; Szymon Zaporowski; Shira Calamaro; Thomas Drugman; Bozena Kostek (ICASSP, 2021)

Improving the Expressiveness of Neural Vocoding with Non-Affine Normalizing Flows. - Adam Gabrys; Yunlong Jiao; Viacheslav Klimkov; Daniel Korzekwa; Roberto Barra-Chicote (Interspeech, 2021)

Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention. - Daniel Korzekwa; Roberto Barra-Chicote; Szymon Zaporowski; Grzegorz Beringer; Jaime Lorenzo-Trueba; Alicja Serafinowicz; Jasha Droppo; Thomas Drugman; Bozena Kostek (Interspeech, 2021)

Weakly-Supervised Word-Level Pronunciation Error Detection in Non-Native English Speech. - Daniel Korzekwa; Jaime Lorenzo-Trueba; Thomas Drugman; Shira Calamaro; Bozena Kostek (Interspeech, 2021)

Enhancing audio quality for expressive Neural Text-to-Speech. - Abdelhamid Ezzerg; Adam Gabrys; Bartosz Putrycz; Daniel Korzekwa; Daniel Saez-Trigueros; David McHardy; Kamil Pokora; Jakub Lachowicz; Jaime Lorenzo-Trueba; Viacheslav Klimkov (SSW, 2021)

Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech. - Raahil Shah; Kamil Pokora; Abdelhamid Ezzerg; Viacheslav Klimkov; Goeric Huybrechts; Bartosz Putrycz; Daniel Korzekwa; Thomas Merritt (SSW, 2021)

Text-Free Non-Parallel Many-To-Many Voice Conversion Using Normalising Flow. - Thomas Merritt; Abdelhamid Ezzerg; Piotr Bilinski; Magdalena Proszewska; Kamil Pokora; Roberto Barra-Chicote; Daniel Korzekwa (ICASSP, 2022)

Creating New Voices using Normalizing Flows. - Piotr Bilinski; Thomas Merritt; Abdelhamid Ezzerg; Kamil Pokora; Sebastian Cygert; Kayoko Yanagisawa; Roberto Barra-Chicote; Daniel Korzekwa (INTERSPEECH, 2022)

L2-GEN: A Neural Phoneme Paraphrasing Approach to L2 Speech Synthesis for Mispronunciation Diagnosis. - Daniel Zhang; Ashwinkumar Ganesan; Sarah Campbell; Daniel Korzekwa (INTERSPEECH, 2022)

On Granularity of Prosodic Representations in Expressive Text-to-Speech. - Mikolaj Babianski; Kamil Pokora; Raahil Shah; Rafal Sienkiewicz; Daniel Korzekwa; Viacheslav Klimkov (SLT, 2022)

Remap, Warp and Attend: Non-Parallel Many-to-Many Accent Conversion with Normalizing Flows. - Abdelhamid Ezzerg; Thomas Merritt; Kayoko Yanagisawa; Piotr Bilinski; Magdalena Proszewska; Kamil Pokora; Renard Korzeniowski; Roberto Barra-Chicote; Daniel Korzekwa (SLT, 2022)

Text-free non-parallel many-to-many voice conversion using normalising flows. - Thomas Merritt; Abdelhamid Ezzerg; Piotr Bilinski; Magdalena Proszewska; Kamil Pokora; Roberto Barra-Chicote; Daniel Korzekwa (CoRR, 2022)

Automated detection of pronunciation errors in non-native English speech employing deep learning. - Daniel Korzekwa (CoRR, 2022)

Computer-assisted pronunciation training - Speech synthesis is almost all you need. - Daniel Korzekwa; Jaime Lorenzo-Trueba; Thomas Drugman; Bozena Kostek (Speech Commun., 2022)

AE-Flow: Autoencoder Normalizing Flow. - Jakub Mosinski; Piotr Bilinski; Thomas Merritt; Abdelhamid Ezzerg; Daniel Korzekwa (ICASSP, 2023)

Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech. - Guangyan Zhang; Thomas Merritt; Manuel Sam Ribeiro; Biel Tura Vecino; Kayoko Yanagisawa; Kamil Pokora; Abdelhamid Ezzerg; Sebastian Cygert; Ammar Abbas; Piotr Bilinski; Roberto Barra-Chicote; Daniel Korzekwa; et al. (INTERSPEECH, 2023)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 2025)

Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning. - Ali Taghibakhshi; Sharath Turuvekere Sreenivas; Saurav Muralidharan; Marcin Chochowski; Yashaswi Karnati; Raviraj Joshi; Ameya Sunil Mahabaleshwarkar; Zijia Chen; Yoshi Suhara; Oluwatobi Olabiyi; Daniel Korzekwa; Mostofa Patwary; et al. (CoRR, 2025)

Scaling Fine-Grained MoE Beyond 50B Parameters: Empirical Evaluation and Practical Insights. - Jakub Krajewski; Marcin Chochowski; Daniel Korzekwa (CoRR, 2025)

Voice Conversion for Lombard Speaking Style with Implicit and Explicit Acoustic Feature Conditioning. - Dominika Woszczyk; Manuel Sam Ribeiro; Thomas Merritt; Daniel Korzekwa (CoRR, 2025)

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model. - Aarti Basant; Abhijit Khairnar; Abhijit Paithankar; Abhinav Khattar; Adithya Renduchintala; Aditya Malte; Akhiad Bercovich; Akshay Hazare; Alejandra Rico; Aleksander Ficek; Alex Kondratenko; Alex Shaposhnikov; et al. (CoRR, 2025)