{"id":4109,"date":"2022-03-24T11:00:00","date_gmt":"2022-03-24T11:00:00","guid":{"rendered":"https:\/\/pcyti.izt.uam.mx\/?p=4109"},"modified":"2023-01-27T19:20:18","modified_gmt":"2023-01-27T19:20:18","slug":"deteccion-de-suplantacion-de-voz-utilizando-algoritmos-basados-en-inteligencia-artificial","status":"publish","type":"post","link":"https:\/\/pcyti.izt.uam.mx\/?p=4109","title":{"rendered":"Seminario: “Detecci\u00f3n de suplantaci\u00f3n de voz utilizando algoritmos basados en inteligencia artificial”"},"content":{"rendered":"\n

Fecha<\/strong>: 24 de marzo de 2022 a las 11:00 hrs
Presenta<\/strong>: Carlos Alberto Hern\u00e1ndez Nava<\/a>
Afiliaci\u00f3n<\/strong>: Alumno del DCyTI
Asesores<\/strong>: Dr.\u00a0Pedro Lara Vel\u00e1zquez<\/a> y Dr.\u00a0Eric Alfredo Rinc\u00f3n Garc\u00ed\u00ada<\/a><\/p>\n\n\n\n

Resumen<\/strong>:<\/p>\n\n\n\n

En este proyecto se desarrolla un modelo capaz de detectar ataques de suplantaci\u00f3n de voz. Se utiliz\u00f3 la base de datos del desaf\u00edo ASVspoof 2017 V2, en la cual se pueden encontrar este tipo de ataques. Para llevar a cabo esta tarea, es necesario primero realizar un preprocesamiento de los audios, es decir, extraer las caracter\u00edsticas del audio, entre los m\u00e9todos m\u00e1s conocidos se encuentran MFCC, CQCC, LFCC y los espectrogramas. Se decidi\u00f3 utilizar los espectrogramas obtenidos de los audios como principal herramienta de an\u00e1lisis, para posteriormente ser utilizados en un modelo basado en CNN (Convolutional Neural Networks), el modelo obtiene s\u00f3lo dos posibles resultados, genuino o falso. Los resultados indican que esta estrategia tiene un buen desempe\u00f1o.<\/p>\n\n\n\n

\n
<\/div>\n\n\n\n
<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Fecha: 24 de marzo de 2022 a las 11:00 hrsPresenta: Carlos Alberto Hern\u00e1ndez NavaAfiliaci\u00f3n: Alumno del DCyTIAsesores: Dr.\u00a0Pedro Lara Vel\u00e1zquez y Dr.\u00a0Eric Alfredo Rinc\u00f3n Garc\u00ed\u00ada Resumen: En este proyecto se desarrolla un modelo capaz de detectar ataques de suplantaci\u00f3n de voz. Se utiliz\u00f3 la base de datos del desaf\u00edo ASVspoof 2017 V2, en la cual<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"no","_lmt_disable":"yes","footnotes":""},"categories":[153],"tags":[],"class_list":["post-4109","post","type-post","status-publish","format-standard","hentry","category-22-i"],"yoast_head":"\nSeminario: "Detecci\u00f3n de suplantaci\u00f3n de voz utilizando algoritmos basados en inteligencia artificial" - Posgrado en Ciencias y Tecnolog\u00edas de la Informaci\u00f3n<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/pcyti.izt.uam.mx\/?p=4109\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Seminario: "Detecci\u00f3n de suplantaci\u00f3n de voz utilizando algoritmos basados en inteligencia artificial" - Posgrado en Ciencias y Tecnolog\u00edas de la Informaci\u00f3n\" \/>\n<meta property=\"og:description\" content=\"Fecha: 24 de marzo de 2022 a las 11:00 hrsPresenta: Carlos Alberto Hern\u00e1ndez NavaAfiliaci\u00f3n: Alumno del DCyTIAsesores: Dr.\u00a0Pedro Lara Vel\u00e1zquez y Dr.\u00a0Eric Alfredo Rinc\u00f3n Garc\u00ed\u00ada Resumen: En este proyecto se desarrolla un modelo capaz de detectar ataques de suplantaci\u00f3n de voz. 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