3 citations · 3 across the 10 of their papers we have counts for
11 papers
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…
Cloned Voices, Real Consequences: Evaluating Bias in Political Deepfake Detection for Electoral Integrity in Brazil
Lucas Rafael Stefanel Gris, Daniel Casanova, Frederico Santos De Oliveira +4
Recent advances in generative artificial intelligence have made it easier to fabricate statements and amplify political disinformation during elections. We introduce ParlaSpoof-BR,…
Mask, Sample, Revise: A Revisable CTMC Inference Stack for Guided Discrete Flow Matching Text-to-Speech
Alef Iury Siqueira Ferreira, Lucas Rafael Stefanel Gris, Luiz Fernando de Araújo Vidal +4
Recent alignment-free non-autoregressive (NAR) text-to-speech (TTS) models formulate synthesis as a conditional infilling task, bypassing explicit duration predictors and external…
Tagarela - A Portuguese speech dataset from podcasts
Frederico Santos de Oliveira, Lucas Rafael Stefanel Gris, Alef Iury Siqueira Ferreira +8
Despite significant advances in speech processing, Portuguese remains under-resourced due to the scarcity of public, large-scale, and high-quality datasets. To address this gap, we…
Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study
Jhessica Silva, Diego A. B. Moreira, Gabriel O. dos Santos +4
In Artificial Intelligence (AI), language models have gained significant importance due to the widespread adoption of systems capable of simulating realistic conversations with hum…
CACARA: Cross-Modal Alignment Leveraging a Text-Centric Approach for Cost-Effective Multimodal and Multilingual Learning
Diego A. B. Moreira, Alef I. Ferreira, Jhessica Silva +10
As deep learning models evolve, new applications and challenges are rapidly emerging. Tasks that once relied on a single modality, such as text, images, or audio, are now enriched…
Enhancing Speech Emotion Recognition with Graph-Based Multimodal Fusion and Prosodic Features for the Speech Emotion Recognition in Naturalistic Conditions Challenge at Interspeech 2025
Alef Iury Siqueira Ferreira, Lucas Rafael Gris, Alexandre Ferro Filho +7
Training SER models in natural, spontaneous speech is especially challenging due to the subtle expression of emotions and the unpredictable nature of real-world audio. In this pape…
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…
FairPIVARA: Reducing and Assessing Biases in CLIP-Based Multimodal Models
Diego A. B. Moreira, Alef Iury Ferreira, Jhessica Silva +10
Despite significant advancements and pervasive use of vision-language models, a paucity of studies has addressed their ethical implications. These models typically require extensiv…
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…
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages
Gabriel Oliveira dos Santos, Diego A. B. Moreira, Alef Iury Ferreira +9
This work introduces CAPIVARA, a cost-efficient framework designed to enhance the performance of multilingual CLIP models in low-resource languages. While CLIP has excelled in zero…