activity
20192025
most citedSound Event Recognition in a Smart City Surveillance Context

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025★ 2 cited

Detecting Malicious Pilot Contamination in Multiuser Massive MIMO Using Decision Trees

Pedro Ivo da Cruz, Dimitri Silva, Tito Spadini +2

Massive multiple-input multiple-output (MMIMO) is essential to modern wireless communication systems, like 5G and 6G, but it is vulnerable to active eavesdropping attacks. One type…

cs.LG2024

Intelligent Fault Diagnosis of Type and Severity in Low-Frequency, Low Bit-Depth Signals

Tito Spadini, Kenji Nose-Filho, Ricardo Suyama

This study focuses on Intelligent Fault Diagnosis (IFD) in rotating machinery utilizing a single microphone and a data-driven methodology, effectively diagnosing 42 classes of faul…

eess.AS2020

Microphone Array Based Surveillance Audio Classification

Dimitri Leandro de Oliveira Silva, Tito Spadini, Ricardo Suyama

The work assessed seven classical classifiers and two beamforming algorithms for detecting surveillance sound events. The tests included the use of AWGN with -10 dB to 30 dB SNR. D…

eess.AS2019

Comparative Study between Adversarial Networks and Classical Techniques for Speech Enhancement

Tito Spadini, Ricardo Suyama

Speech enhancement is a crucial task for several applications. Among the most explored techniques are the Wiener filter and the LogMMSE, but approaches exploring deep learning adap…

cs.SD2019★ 4 cited

Sound Event Recognition in a Smart City Surveillance Context

Tito Spadini, Dimitri Leandro de Oliveira Silva, Ricardo Suyama

Due to the growing demand for improving surveillance capabilities in smart cities, systems need to be developed to provide better monitoring capabilities to competent authorities,…