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ORCIDThomas Drugman
- > Home > Persons > Thomas Drugman
Publications
- 2024
[i60]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 abs/2402.08093 (2024)- 2023
- [i58]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 abs/2307.07062 (2023) - 2022
- [c71]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: 8307-8311 - [c69]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: 3368-3372 - [i56]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 abs/2202.06409 (2022) - [i53]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 abs/2206.14643 (2022) - 2021
- [c67]Sri Karlapati, Ammar Abbas, Zack Hodari, Alexis Moinet, Arnaud Joly, Penny Karanasou, Thomas Drugman:
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech. ICASSP 2021: 6573-6577 - [c66]Zack Hodari, Alexis Moinet, Sri Karlapati, Jaime Lorenzo-Trueba, Thomas Merritt, Arnaud Joly, Ammar Abbas, Penny Karanasou, Thomas Drugman:
Camp: A Two-Stage Approach to Modelling Prosody in Context. ICASSP 2021: 6578-6582 - [c64]Penny Karanasou, Sri Karlapati, Alexis Moinet, Arnaud Joly, Ammar Abbas, Simon Slangen, Jaime Lorenzo-Trueba, Thomas Drugman:
A Learned Conditional Prior for the VAE Acoustic Space of a TTS System. Interspeech 2021: 3620-3624 - [i47]Penny Karanasou, Sri Karlapati, Alexis Moinet, Arnaud Joly, Ammar Abbas, Simon Slangen, Jaime Lorenzo-Trueba, Thomas Drugman:
A learned conditional prior for the VAE acoustic space of a TTS system. CoRR abs/2106.10229 (2021) - [i46]Ammar Abbas, Bajibabu Bollepalli, Alexis Moinet, Arnaud Joly, Penny Karanasou, Peter Makarov, Simon Slangen, Sri Karlapati, Thomas Drugman:
Multi-Scale Spectrogram Modelling for Neural Text-to-Speech. CoRR abs/2106.15649 (2021) - 2020
- [c60]Sri Karlapati, Alexis Moinet, Arnaud Joly, Viacheslav Klimkov, Daniel Sáez-Trigueros, Thomas Drugman:
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech. INTERSPEECH 2020: 4387-4391 - [i32]Sri Karlapati, Alexis Moinet, Arnaud Joly, Viacheslav Klimkov, Daniel Saez-Trigueros, Thomas Drugman:
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech. CoRR abs/2004.14617 (2020) - [i20]Sri Karlapati, Ammar Abbas, Zack Hodari, Alexis Moinet, Arnaud Joly, Penny Karanasou, Thomas Drugman:
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech. CoRR abs/2011.02252 (2020)
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last updated on 2024-04-25 05:57 CEST by the dblp team
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