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On the use of VGGish as feature extractor for COVID-19 cough classification
Abstract: The COVID-19 pandemic has changed the daily lives of all people worldwide, affecting not only societPalabras claves:Convolutional neural network, covid-19, Transfer learning, VggishAutores:Christian Salamea-Palacios, Javier Guaña-Moya, Jessica Reina, Paulo Castañeda-Romero, Tarquino Sánchez-Almeida, Xavier Calderón-HinojosaFuentes:scopusCough Sound Identification: An Approach Based on Ensemble Learning
Book PartAbstract: Cough identification using DSP techniques in an audio signal is a complex task; thus, an artificialPalabras claves:Convolutional neural network, Cough identification, ensemble learning, Hidden markov model, random forest, Voting classifierAutores:Christian Salamea-Palacios, David Alejandro Naranjo-Tovar, Javier Guaña-Moya, Tarquino Sánchez-Almeida, Xavier Calderón-HinojosaFuentes:googlescopusDesign and Proposal of a Database for Firearms Detection
Conference ObjectAbstract: Closed circuit television (CCTV) surveillance systems that implement monitoring operators have multiPalabras claves:Convolutional neural network, Database, Detection, FirearmAutores:Christian Salamea-Palacios, David RomeroFuentes:scopusMachine learning models to characterize the cough signal of patients with COVID-19
Conference ObjectAbstract: Automatic recognition of audio signals is a challenging signal task due to the difficulty of extractPalabras claves:characterization, Convolutional neural network, covid-19, Transfer learning, Vggish, YAMNetAutores:Christian Salamea-Palacios, Javier Guaña-Moya, Jessica Reina, Jessica Reina-Trávez, Paulo Castañeda-Romero, Tarquino Sánchez-Almeida, Xavier Calderón-HinojosaFuentes:scopus