BIOCPPNET: AUTOMATIC BIOACOUSTIC SOURCE SEPARATION WITH DEEP NEURAL NETWORKS

Abstract We introduce the Bioacoustic Cocktail Party Problem Network (BioCPPNet), a lightweight, modular, and robust U-Net-based machine learning architecture optimized for bioacoustic source separation across diverse biological taxa.Employing learnable or handcrafted encoders, BioCPPNet operates directly on the raw acoustic mixture waveform contai

The article is devoted to the study of the features of quality control of the organization of construction processes based on the use of information technologies.The construction Controllers period is key to ensuring the design characteristics of capital construction projects.It is this stage of the life cycle that characterizes the adequacy of the