65 citations · 87 across the 8 of their papers we have counts for
9 papers
BranchShine-CR: Compact Multilingual IPA Transcription with Self-Conditioned CTC and Consistency Regularization
Nikhil Navas, Sergio Chevtchenko, Talisson Damiao +1
We introduce BranchShine-CR, a 25M-parameter model for multilingual transcription into the International Phonetic Alphabet (IPA). It combines log-mel features, a rotary-position E-…
BranchShine: Compact Raw-Audio-to-IPA Transcription with a RoPE E-Branchformer Encoder
Nikhil Navas, Sergio Chevtchenko, Talisson Damiao +1
Speech-to-IPA transcription is useful when the desired output is pronunciation rather than orthographic text, but competitive multilingual systems are often large and evaluation is…
Acoustic Imaging for UAV Detection: Dense Beamformed Energy Maps and U-Net SELD
Belman Jahir Rodriguez, Sergio F. Chevtchenko, Marcelo Herrera Martinez +2
We introduce a U-net model for 360° acoustic source localization formulated as a spherical semantic segmentation task. Rather than regressing discrete direction-of-arrival (DoA) an…
An End-to-End Approach for Child Reading Assessment in the Xhosa Language
Sergio Chevtchenko, Nikhil Navas, Rafaella Vale +6
Child literacy is a strong predictor of life outcomes at the subsequent stages of an individual's life. This points to a need for targeted interventions in vulnerable low and middl…
Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data
Sergio F. Chevtchenko, Monalisa C. M. dos Santos, Diego M. Vieira +5
With the support of Internet of Things (IoT) devices, it is possible to acquire data from degradation phenomena and design data-driven models to perform anomaly detection in indust…
Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction
Daniel Rosa, Filipe R. Cordeiro, Ruan Carvalho +6
Handwritten Mathematical Expression Recognition (HMER) is a challenging task with many educational applications. Recent methods for HMER have been developed for complex mathematica…
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations
Sergio F. Chevtchenko, Yeshwanth Bethi, Teresa B. Ludermir +1
Reinforcement Learning (RL) provides a powerful framework for decision-making in complex environments. However, implementing RL in hardware-efficient and bio-inspired ways remains…
A Mapping Study of Machine Learning Methods for Remaining Useful Life Estimation of Lead-Acid Batteries
Sérgio F Chevtchenko, Elisson da Silva Rocha, Bruna Cruz +2
Energy storage solutions play an increasingly important role in modern infrastructure and lead-acid batteries are among the most commonly used in the rechargeable category. Due to…
Anomaly Detection in Industrial Machinery using IoT Devices and Machine Learning: a Systematic Mapping
Sérgio F. Chevtchenko, Elisson da Silva Rocha, Monalisa Cristina Moura Dos Santos +4
Anomaly detection is critical in the smart industry for preventing equipment failure, reducing downtime, and improving safety. Internet of Things (IoT) has enabled the collection o…