91 citations · 184 across the 11 of their papers we have counts for
14 papers
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…
TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese
Edresson Casanova, Arnaldo Candido Junior, Christopher Shulby +4
Speech provides a natural way for human-computer interaction. In particular, speech synthesis systems are popular in different applications, such as personal assistants, GPS applic…
Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models
Edresson Casanova, Arnaldo Candido Junior, Christopher Shulby +5
In this paper we present an efficient method for training models for speaker recognition using small or under-resourced datasets. This method requires less data than other SOTA (St…
MilkQA: a Dataset of Consumer Questions for the Task of Answer Selection
Marcelo Criscuolo, Erick Rocha Fonseca, Sandra Maria Aluísio +1
We introduce MilkQA, a question answering dataset from the dairy domain dedicated to the study of consumer questions. The dataset contains 2,657 pairs of questions and answers, wri…
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
Nathan Hartmann, Erick Fonseca, Christopher Shulby +3
Word embeddings have been found to provide meaningful representations for words in an efficient way; therefore, they have become common in Natural Language Processing sys- tems. In…
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts
Marcos V. Treviso, Christopher D. Shulby, Sandra M. Aluisio
This paper is motivated by the automation of neuropsychological tests involving discourse analysis in the retellings of narratives by patients with potential cognitive impairment.…
Acoustic Modeling Using a Shallow CNN-HTSVM Architecture
Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo F. de Mello +1
High-accuracy speech recognition is especially challenging when large datasets are not available. It is possible to bridge this gap with careful and knowledge-driven parsing combin…
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…
Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts
Leandro B. dos Santos, Edilson A. Corrêa, Osvaldo N. Oliveira +3
Mild Cognitive Impairment (MCI) is a mental disorder difficult to diagnose. Linguistic features, mainly from parsers, have been used to detect MCI, but this is not suitable for lar…
Automatic semantic role labeling on non-revised syntactic trees of journalistic texts
Nathan Siegle Hartmann, Magali Sanches Duran, Sandra Maria Aluísio
Semantic Role Labeling (SRL) is a Natural Language Processing task that enables the detection of events described in sentences and the participants of these events. For Brazilian P…
Automatic Classification of the Complexity of Nonfiction Texts in Portuguese for Early School Years
Nathan Siegle Hartmann, Livia Cucatto, Danielle Brants +1
Recent research shows that most Brazilian students have serious problems regarding their reading skills. The full development of this skill is key for the academic and professional…
Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks
Marcos Vinícius Treviso, Christopher Shulby, Sandra Maria Aluísio
Automated discourse analysis tools based on Natural Language Processing (NLP) aiming at the diagnosis of language-impairing dementias generally extract several textual metrics of n…
Complex networks analysis of language complexity
Diego R. Amancio, Sandra M. Aluisio, Osvaldo N. Oliveira +1
Methods from statistical physics, such as those involving complex networks, have been increasingly used in quantitative analysis of linguistic phenomena. In this paper, we represen…
Developing strategies to produce better scientific papers: a Recipe for non-native users of English
Osvaldo N. Oliveira, Valtencir Zucolotto, Sandra M. Aluisio
In this paper we introduce the AMADEUS strategy, which has been used to produce scientific writing tools for non-native users of English for 15 years, and emphasize a learn-by-doin…