91 citations · 154 across the 6 of their papers we have counts for
8 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…
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…