23 citations · 29 across the 4 of their papers we have counts for
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eess.AS2024★ 4 cited
Low-complexity Attention-based Unsupervised Anomalous Sound Detection exploiting Separable Convolutions and Angular Loss
Michael Neri, Marco Carli
In this work, a novel deep neural network, designed to enhance the efficiency and effectiveness of unsupervised sound anomaly detection, is presented. The proposed model exploits a…
eess.AS2024★ 23 cited
Speaker Distance Estimation in Enclosures from Single-Channel Audio
Michael Neri, Archontis Politis, Daniel Krause +2
Distance estimation from audio plays a crucial role in various applications, such as acoustic scene analysis, sound source localization, and room modeling. Most studies predominant…