activity
20202026
most citedTTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese

16 citations · 28 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2026

CVSS-X: A Multilingual Speech-to-Speech Translation Corpus for 28 Languages

Lucas Rafael Stefanel Gris, Alef Iury Siqueira Ferreira, Frederico Santos de Oliveira +4

We introduce CVSS-X, a large-scale synthetic speech-to-speech translation corpus that extends CVSS by reversing the translation direction. While CVSS translates from 21 languages i…

cs.CV2023

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,…

eess.AS2023

CML-TTS A Multilingual Dataset for Speech Synthesis in Low-Resource Languages

Frederico S. Oliveira, Edresson Casanova, Arnaldo Cândido Júnior +2

In this paper, we present CML-TTS, a recursive acronym for CML-Multi-Lingual-TTS, a new Text-to-Speech (TTS) dataset developed at the Center of Excellence in Artificial Intelligenc…

cs.SD2023★ 1 cited

Evaluation of Speech Representations for MOS prediction

Frederico S. Oliveira, Edresson Casanova, Arnaldo Cândido Júnior +3

In this paper, we evaluate feature extraction models for predicting speech quality. We also propose a model architecture to compare embeddings of supervised learning and self-super…

cs.CL2021★ 10 cited

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…

cs.CL2021★ 1 cited

Brazilian Portuguese Speech Recognition Using Wav2vec 2.0

Lucas Rafael Stefanel Gris, Edresson Casanova, Frederico Santos de Oliveira +2

Deep learning techniques have been shown to be efficient in various tasks, especially in the development of speech recognition systems, that is, systems that aim to transcribe an a…

eess.AS2020★ 16 cited

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…

cs.CL2020

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…