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20192025
most citedAcoustic Scene Classification with Squeeze-Excitation Residual Networks

40 citations · 107 across the 14 of their papers we have counts for

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5 papers · 1 filter

eess.AS2023★ 12 cited

Acoustic source localization in the spherical harmonics domain exploiting low-rank approximations

Maximo Cobos, Mirco Pezzoli, Fabio Antonacci +1

Acoustic signal processing in the spherical harmonics domain (SHD) is an active research area that exploits the signals acquired by higher order microphone arrays. A very important…

eess.AS2020★ 6 cited

Listen carefully and tell: an audio captioning system based on residual learning and gammatone audio representation

Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello +1

Automated audio captioning is machine listening task whose goal is to describe an audio using free text. An automated audio captioning system has to be implemented as it accepts an…

eess.AS2020★ 5 cited

Anomalous Sound Detection using unsupervised and semi-supervised autoencoders and gammatone audio representation

Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello +1

Anomalous sound detection (ASD) is, nowadays, one of the topical subjects in machine listening discipline. Unsupervised detection is attracting a lot of interest due to its immedia…

eess.AS2020

Time Difference of Arrival Estimation from Frequency-Sliding Generalized Cross-Correlations Using Convolutional Neural Networks

Luca Comanducci, Maximo Cobos, Fabio Antonacci +1

The interest in deep learning methods for solving traditional signal processing tasks has been steadily growing in the last years. Time delay estimation (TDE) in adverse scenarios…

eess.AS2019★ 2 cited

Frequency-Sliding Generalized Cross-Correlation: A Sub-band Time Delay Estimation Approach

Maximo Cobos, Fabio Antonacci, Luca Comanducci +1

The generalized cross correlation (GCC) is regarded as the most popular approach for estimating the time difference of arrival (TDOA) between the signals received at two sensors. T…