activity
20142026
most citedEfficient Steered-Response Power Methods for Sound Source Localization Using Microphone Arrays

35 citations · 42 across the 9 of their papers we have counts for

collaborators

9 papers

eess.AS2026

Synthetic speech detection in Brazilian Portuguese through accent-related features

Pedro H. L. Leite, Pedro Benevenuto Valadares, Luiz Wagner Pereira Biscainho

Leading commercial and open-source Text-to-Speech (TTS) models fail to emulate the regional phonetic diversity of Brazilian Portuguese (pt-BR). By aggregating disparate dialects in…

eess.AS2026

Efficient Audio Enhancement with a Differentiable Psychoacoustic Loss

Wallace Abreu, Bernardo V. Miranda, Luiz W. P. Biscainho

Audio enhancement consists of improving the perceived quality of audio signals. Initially, with the aim of addressing bandwidth extension, this work proposes \(AEROMamba_{P}\), an…

eess.AS2026

Extracting accent features in spoken Brazilian Portuguese without sociolinguistic labels

Pedro H. L. Leite, Pedro Benevenuto Valadares, Luiz W. P. Biscainho

Regional accent classification in Brazilian Portuguese (pt-BR) suffers from the need for reliable labeling. While large self-supervised learning (SSL) speech models are powerful, t…

eess.AS2026

FiPA-SR -- FiLM-Conditioned Perceptually Informed Audio Super-Resolution

Wallace Abreu, Luiz W. P. Biscainho

Audio bandwidth extension aims to reconstruct missing high-frequency content from bandlimited signals. This paper proposes FiPA-SR, a GAN-based perceptual architecture capable of h…

eess.AS2024

AEROMamba: An efficient architecture for audio super-resolution using generative adversarial networks and state space models

Wallace Abreu, Luiz Wagner Pereira Biscainho

Audio super-resolution aims to enhance low-resolution signals by creating high-frequency content. In this work, we modify the architecture of AERO (a state-of-the-art system for th…

cs.SD2023

Adapting Meter Tracking Models to Latin American Music

Lucas S. Maia, Martín Rocamora, Luiz W. P. Biscainho +1

Beat and downbeat tracking models have improved significantly in recent years with the introduction of deep learning methods. However, despite these improvements, several challenge…

eess.AS2020★ 6 cited

Bayesian Restoration of Audio Degraded by Low-Frequency Pulses Modeled via Gaussian Process

Hugo Tremonte de Carvalho, Flávio Rainho Ávila, Luiz Wagner Pereira Biscainho

A common defect found when reproducing old vinyl and gramophone recordings with mechanical devices are the long pulses with significant low-frequency content caused by the interact…

cs.HC2018★ 1 cited

Mobile Sound Recognition for the Deaf and Hard of Hearing

Leonardo A. Fanzeres, Adriana S. Vivacqua, Luiz W. P. Biscainho

Human perception of surrounding events is strongly dependent on audio cues. Thus, acoustic insulation can seriously impact situational awareness. We present an exploratory study in…

cs.SD2014★ 35 cited

Efficient Steered-Response Power Methods for Sound Source Localization Using Microphone Arrays

Markus V. S. Lima, Wallace A. Martins, Leonardo O. Nunes +4

This paper proposes an efficient method based on the steered-response power (SRP) technique for sound source localization using microphone arrays: the volumetric SRP (V-SRP). As co…