Binaural acoustic scene classification using wavelet scattering, parallel ensemble classifiers and nonlinear fusion

V Hajihashemi, AA Gharahbagh, PM Cruz, MC Ferreira… - Sensors, 2022 - mdpi.com
The analysis of ambient sounds can be very useful when developing sound base intelligent
systems. Acoustic scene classification (ASC) is defined as identifying the area of a recorded …

Toward realigning automatic speaker verification in the era of COVID-19

A Khan, A Javed, KM Malik, MA Raza, J Ryan… - Sensors, 2022 - mdpi.com
The use of face masks has increased dramatically since the COVID-19 pandemic started in
order to to curb the spread of the disease. Additionally, breakthrough infections caused by …

Unsupervised domain adaptation via principal subspace projection for acoustic scene classification

AI Mezza, EAP Habets, M Mueller, A Sarti - Journal of Signal Processing …, 2022 - Springer
Existing acoustic scene classification (ASC) systems often fail to generalize across different
recording devices. In this work, we present an unsupervised domain adaptation method for …

Effect of Distance and Direction on Distress Keyword Recognition using Ensembled Bagged Trees with a Ceiling-Mounted Omnidirectional Microphone

N Johari, M Mamat, YH Tung… - International Journal of …, 2023 - search.proquest.com
Audio surveillance can provide an effective alternative to video surveillance in situations
where the latter is impractical. Nevertheless, it is essential to note that audio recording raises …

Max-Fusion of Random Ensemble Subspace Discriminant with Aggregation of MFCCs and High Scalogram Coefficients for Acoustics Classification

CS Chin, J Xiao - … IEEE/ACIS 19th International Conference on …, 2021 - ieeexplore.ieee.org
In this paper, a random sub-space discriminant classifier for classifying acoustic devices that
combines the features obtained from Mel-frequency cepstral coefficients (MFCCs), and …