Arnaud Joly - RankMe

27 papers A* 1A 3B 1Misc 4Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data. CoRR 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
2024	Misc	`conf`	Mapache: Masked Parallel Transformer for Advanced Speech Editing and Synthesis. ICASSP Guillermo Cámbara, Patrick Lumban Tobing, Mikolaj Babianski, Ravichander Vipperla, Duo Wang, Ron Shmelkin, Giuseppe Coccia, Orazio Angelini, Arnaud Joly, Mateusz Lajszczak, Vincent Pollet
2023	—	`conf`	Controllable Emphasis with zero data for text-to-speech. SSW 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
2023	J	`jnl`	Controllable Emphasis with zero data for text-to-speech. CoRR 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
2022	Misc	`conf`	Distribution Augmentation for Low-Resource Expressive Text-To-Speech. ICASSP Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova
2022	J	`jnl`	Distribution augmentation for low-resource expressive text-to-speech. CoRR Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova
2022	A	`conf`	Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody. INTERSPEECH Peter Makarov, Syed Ammar Abbas, Mateusz Lajszczak, Arnaud Joly, Sri Karlapati, Alexis Moinet, Thomas Drugman, Penny Karanasou
2022	J	`jnl`	Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody. CoRR Peter Makarov, Ammar Abbas, Mateusz Lajszczak, Arnaud Joly, Sri Karlapati, Alexis Moinet, Thomas Drugman, Penny Karanasou
2021	A	`conf`	A Learned Conditional Prior for the VAE Acoustic Space of a TTS System. Interspeech Penny Karanasou, Sri Karlapati, Alexis Moinet, Arnaud Joly, Ammar Abbas, Simon Slangen, Jaime Lorenzo-Trueba, Thomas Drugman
2021	J	`jnl`	A learned conditional prior for the VAE acoustic space of a TTS system. CoRR Penny Karanasou, Sri Karlapati, Alexis Moinet, Arnaud Joly, Ammar Abbas, Simon Slangen, Jaime Lorenzo-Trueba, Thomas Drugman
2021	Misc	`conf`	Camp: A Two-Stage Approach to Modelling Prosody in Context. ICASSP Zack Hodari, Alexis Moinet, Sri Karlapati, Jaime Lorenzo-Trueba, Thomas Merritt, Arnaud Joly, Ammar Abbas, Penny Karanasou, Thomas Drugman
2021	—	`conf`	Multi-Scale Spectrogram Modelling for Neural Text-to-Speech. SSW Ammar Abbas, Bajibabu Bollepalli, Alexis Moinet, Arnaud Joly, Penny Karanasou, Peter Makarov, Simon Slangen, Sri Karlapati, Thomas Drugman
2021	J	`jnl`	Multi-Scale Spectrogram Modelling for Neural Text-to-Speech. CoRR Ammar Abbas, Bajibabu Bollepalli, Alexis Moinet, Arnaud Joly, Penny Karanasou, Peter Makarov, Simon Slangen, Sri Karlapati, Thomas Drugman
2021	Misc	`conf`	Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech. ICASSP Sri Karlapati, Ammar Abbas, Zack Hodari, Alexis Moinet, Arnaud Joly, Penny Karanasou, Thomas Drugman
2020	A	`conf`	CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech. INTERSPEECH Sri Karlapati, Alexis Moinet, Arnaud Joly, Viacheslav Klimkov, Daniel Sáez-Trigueros, Thomas Drugman
2020	J	`jnl`	CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech. CoRR Sri Karlapati, Alexis Moinet, Arnaud Joly, Viacheslav Klimkov, Daniel Saez-Trigueros, Thomas Drugman
2020	J	`jnl`	Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech. CoRR Sri Karlapati, Ammar Abbas, Zack Hodari, Alexis Moinet, Arnaud Joly, Penny Karanasou, Thomas Drugman
2019	J	`jnl`	Gradient tree boosting with random output projections for multi-label classification and multi-output regression. CoRR Arnaud Joly, Louis Wehenkel, Pierre Geurts
2017	J	`jnl`	Exploiting random projections and sparsity with random forests and gradient boosting methods - Application to multi-label and multi-output learning, random forest model compression and leveraging input sparsity. CoRR Arnaud Joly
2017	—	`—`	Exploiting random projections and sparsity with random forests and gradient boosting methods - Application to multi-label and multi-output learning, random forest model compression and leveraging input sparsity. Arnaud Joly
2017	A*	`conf`	Globally Induced Forest: A Prepruning Compression Scheme. ICML Jean-Michel Begon, Arnaud Joly, Pierre Geurts
2014	—	`conf`	Random Forests with Random Projections of the Output Space for High Dimensional Multi-label Classification. ECML/PKDD (1) Arnaud Joly, Pierre Geurts, Louis Wehenkel
2014	J	`jnl`	Random forests with random projections of the output space for high dimensional multi-label classification. CoRR Arnaud Joly, Pierre Geurts, Louis Wehenkel
2014	—	`conf`	Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging. Neural Connectomics Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts
2014	J	`jnl`	Simple connectome inference from partial correlation statistics in calcium imaging. CoRR Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts
2013	J	`jnl`	API design for machine learning software: experiences from the scikit-learn project. CoRR Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort, Jaques Grobler, Robert Layton, Jake VanderPlas, Arnaud Joly, Brian Holt, Gaël Varoquaux
2012	B	`conf`	L1-based compression of random forest models. ESANN Arnaud Joly, François Schnitzler, Pierre Geurts, Louis Wehenkel