Respiratory insufficiency is a symptom that requires hospitalization. This work investigates
whether it is possible to detect this condition by analyzing patient’s speech samples; the …

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-…

In this paper we investigate the task of text simplification for Brazilian Portuguese. Our
purpose is three-fold: to introduce a simplification tool for such language and its underlying …

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-…

Texts are the media content primarily available on Web sites and applications. However, this
heavy use of texts creates an accessibility barrier to those who cannot read fluently in their …

In this work, we propose several techniques to address data scarceness in ComParE 2021
COVID-19 identification tasks for the application of deep models such as Convolutional …

The relevance of automatically identifying rhetorical moves in scientific texts has been
widely acknowledged in the literature. This study focuses on abstracts of standard research …

Large Language Models (LLMs) are increasingly bringing advances to Natural Language
Processing. However, low-resource languages, those lacking extensive prominence in …

Context Systematic Literature Reviews (SLRs) are frequently used to synthesize evidence
in Software Engineering (SE), however replicating and keeping SLRs up-to-date is a major …

SIMPLIFICA is an authoring tool for producing simplified texts in Portuguese. It provides
functionalities for lexical and syntactic simplification and for readability assessment. This tool is …