Arnaud Joly

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 20

Top Topics

High Dimensional

Programming Tool

Top Venues

Publications

Guillermo Cámbara, Patrick Lumban Tobing, Mikolaj Babianski, Ravichander Vipperla, Duo Wang, Ron Shmelkin, Giuseppe Coccia, Orazio Angelini, Arnaud Joly, Mateusz Lajszczak, Vincent Pollet
Mapache: Masked Parallel Transformer for Advanced Speech Editing and Synthesis. ICASSP (2024)
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 (2024)
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 (2023)
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. SSW (2023)
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 (2022)
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)
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)
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 (2022)
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 (2021)
Ammar Abbas, Bajibabu Bollepalli, Alexis Moinet, Arnaud Joly, Penny Karanasou, Peter Makarov, Simon Slangens, Sri Karlapati, Thomas Drugman
Multi-Scale Spectrogram Modelling for Neural Text-to-Speech. SSW (2021)
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)
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)
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)
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 (2021)
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 (2020)
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)
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 (2020)
Arnaud Joly, Louis Wehenkel, Pierre Geurts
Gradient tree boosting with random output projections for multi-label classification and multi-output regression. CoRR (2019)
Arnaud Joly
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 (2017)
Jean-Michel Begon, Arnaud Joly, Pierre Geurts
Globally Induced Forest: A Prepruning Compression Scheme. ICML (2017)
Arnaud Joly, Pierre Geurts, Louis Wehenkel
Random Forests with Random Projections of the Output Space for High Dimensional Multi-label Classification. ECML/PKDD (1) (2014)
Arnaud Joly, Pierre Geurts, Louis Wehenkel
Random forests with random projections of the output space for high dimensional multi-label classification. CoRR (2014)
Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts
Simple connectome inference from partial correlation statistics in calcium imaging. CoRR (2014)
Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts
Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging. Neural Connectomics (2014)
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
API design for machine learning software: experiences from the scikit-learn project. CoRR (2013)
Arnaud Joly, François Schnitzler, Pierre Geurts, Louis Wehenkel
L1-based compression of random forest models. ESANN (2012)