Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Arnaud Joly

Arnaud Joly

INRIA Saclay - Ile de France

Multi-Scale Spectrogram Modelling for Neural Text-to-Speech

Jun 29, 2021
Ammar Abbas, Bajibabu Bollepalli, Alexis Moinet, Arnaud Joly, Penny Karanasou, Peter Makarov, Simon Slangens, Sri Karlapati, Thomas Drugman

* Accepted for the 11th ISCA Speech Synthesis Workshop (SSW11) 

  Access Paper or Ask Questions

A learned conditional prior for the VAE acoustic space of a TTS system

Jun 14, 2021
Penny Karanasou, Sri Karlapati, Alexis Moinet, Arnaud Joly, Ammar Abbas, Simon Slangen, Jaime Lorenzo Trueba, Thomas Drugman

* in Proceedings of Interspeech 2021 

  Access Paper or Ask Questions

Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech

Nov 04, 2020
Sri Karlapati, Ammar Abbas, Zack Hodari, Alexis Moinet, Arnaud Joly, Penny Karanasou, Thomas Drugman

* 5 pages and 3 figures 

  Access Paper or Ask Questions

Gradient tree boosting with random output projections for multi-label classification and multi-output regression

May 18, 2019
Arnaud Joly, Louis Wehenkel, Pierre Geurts

  Access Paper or Ask Questions

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

Apr 26, 2017
Arnaud Joly

  Access Paper or Ask Questions

Simple connectome inference from partial correlation statistics in calcium imaging

Nov 18, 2014
Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts

  Access Paper or Ask Questions

Random forests with random projections of the output space for high dimensional multi-label classification

Sep 29, 2014
Arnaud Joly, Pierre Geurts, Louis Wehenkel

* Machine Learning and Knowledge Discovery in Databases, 2014, Part I, pp 607-622 

  Access Paper or Ask Questions

API design for machine learning software: experiences from the scikit-learn project

Sep 01, 2013
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

* European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases (2013) 

  Access Paper or Ask Questions