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MFCC based Enlargement of the Training Set for Emotion Recognition in Speech., , , and . CoRR, (2014)Assessment of Mental, Emotional and Physical Stress through Analysis of Physiological Signals Using Smartphones., , , , and . Sensors, 15 (10): 25607-25627 (2015)Using Multilayer Perceptrons to Align High Range Resolution Radar Signals., , , and . ICANN (2), volume 3697 of Lecture Notes in Computer Science, page 911-916. Springer, (2005)Speech source separation using a generalized mean shift algorithm., , , and . Signal Process., 92 (9): 2248-2252 (2012)Indoor Self-Localization and Orientation Estimation of Smartphones Using Acoustic Signals., , , and . Wirel. Commun. Mob. Comput., (2017)Age group classification and gender recognition from speech with temporal convolutional neural networks., , , and . Multim. Tools Appl., 81 (3): 3535-3552 (2022)Indoor blind localization of smartphones by means of sensor data fusion., , , and . SAS, page 1-6. IEEE, (2015)MLP and RBFN for Detecting White Gaussian Signals in White Gaussian Interference., , , and . IWANN (2), volume 2687 of Lecture Notes in Computer Science, page 790-797. Springer, (2003)Violence Detection in Real-Life Audio Signals Using Lightweight Deep Neural Networks., , , and . INNS DLIA@IJCNN, volume 222 of Procedia Computer Science, page 244-251. Elsevier, (2023)Acoustic Detection of Violence in Real and Fictional Environments., , , , , and . ICPRAM, page 456-462. SciTePress, (2017)