10 citations · 26 across the 7 of their papers we have counts for
7 papers
FreeSVC: Towards Zero-shot Multilingual Singing Voice Conversion
Alef Iury Siqueira Ferreira, Lucas Rafael Gris, Augusto Seben da Rosa +6
This work presents FreeSVC, a promising multilingual singing voice conversion approach that leverages an enhanced VITS model with Speaker-invariant Clustering (SPIN) for better con…
No Saved Kaleidosope: an 100% Jitted Neural Network Coding Language with Pythonic Syntax
Augusto Seben da Rosa, Marlon Daniel Angeli, Jorge Aikes Junior +7
We developed a jitted compiler for training Artificial Neural Networks using C++, LLVM and Cuda. It features object-oriented characteristics, strong typing, parallel workers for da…
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches
Juliana Resplande Santanna Gomes, Eduardo Augusto Santos Garcia, Adalberto Ferreira Barbosa Junior +6
Aspect-based Sentiment Analysis (ABSA) is a task whose objective is to classify the individual sentiment polarity of all entities, called aspects, in a sentence. The task is compos…
Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person
Lucas Rafael Stefanel Gris, Ricardo Marcacini, Arnaldo Candido Junior +3
Automatic speech recognition (ASR) systems play a key role in applications involving human-machine interactions. Despite their importance, ASR models for the Portuguese language pr…
CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese
Arnaldo Candido Junior, Edresson Casanova, Anderson Soares +8
Automatic Speech recognition (ASR) is a complex and challenging task. In recent years, there have been significant advances in the area. In particular, for the Brazilian Portuguese…
Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time
Rafael T. Sousa, Lucas A. Pereira, Anderson S. Soares
Supervised learning with irregularly sampled time series have been a challenge to Machine Learning methods due to the obstacle of dealing with irregular time intervals. Some papers…