research
∙
07/13/2023
Controllable Emphasis with zero data for text-to-speech
We present a scalable method to produce high quality emphasis for text-t...
share
research
∙
06/29/2022
Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody
Generating expressive and contextually appropriate prosody remains a cha...
research
∙
02/13/2022
Distribution augmentation for low-resource expressive text-to-speech
This paper presents a novel data augmentation technique for text-to-spee...
research
∙
06/29/2021
Multi-Scale Spectrogram Modelling for Neural Text-to-Speech
We propose a novel Multi-Scale Spectrogram (MSS) modelling approach to s...
research
∙
06/14/2021
A learned conditional prior for the VAE acoustic space of a TTS system
Many factors influence speech yielding different renditions of a given s...
research
∙
11/04/2020
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech
In this paper, we introduce Kathaka, a model trained with a novel two-st...
research
∙
04/30/2020
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech
Prosody Transfer (PT) is a technique that aims to use the prosody from a...
research
∙
05/18/2019
Gradient tree boosting with random output projections for multi-label classification and multi-output regression
In many applications of supervised learning, multiple classification or ...
research
∙
04/26/2017
Exploiting random projections and sparsity with random forests and gradient boosting methods -- Application to multi-label and multi-output learning, random forest model compre
Within machine learning, the supervised learning field aims at modeling ...
research
∙
06/30/2014
Simple connectome inference from partial correlation statistics in calcium imaging
In this work, we propose a simple yet effective solution to the problem ...
research
∙
04/14/2014