32 citations · 39 across the 5 of their papers we have counts for
6 papers
Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese
Marcelo Matheus Gauy, Larissa Cristina Berti, Arnaldo Cândido +9
This work investigates Artificial Intelligence (AI) systems that detect respiratory insufficiency (RI) by analyzing speech audios, thus treating speech as a RI biomarker. Previous…
Yin Yang Convolutional Nets: Image Manifold Extraction by the Analysis of Opposites
Augusto Seben da Rosa, Frederico Santos de Oliveira, Anderson da Silva Soares +1
Computer vision in general presented several advances such as training optimizations, new architectures (pure attention, efficient block, vision language models, generative models,…
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion
Edresson Casanova, Christopher Shulby, Alexander Korolev +4
We explore cross-lingual multi-speaker speech synthesis and cross-lingual voice conversion applied to data augmentation for automatic speech recognition (ASR) systems in low/medium…
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
Edresson Casanova, Julian Weber, Christopher Shulby +3
YourTTS brings the power of a multilingual approach to the task of zero-shot multi-speaker TTS. Our method builds upon the VITS model and adds several novel modifications for zero-…
SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model
Edresson Casanova, Christopher Shulby, Eren Gölge +6
In this paper, we propose SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model that improves similarity for speakers unseen during training. We propose a speaker-c…
A Lightweight Regression Method to Infer Psycholinguistic Properties for Brazilian Portuguese
Leandro B. dos Santos, Magali S. Duran, Nathan S. Hartmann +3
Psycholinguistic properties of words have been used in various approaches to Natural Language Processing tasks, such as text simplification and readability assessment. Most of thes…