{"id":3608,"date":"2023-08-03T20:16:05","date_gmt":"2023-08-03T20:16:05","guid":{"rendered":"https:\/\/dailyai.com\/?p=3608"},"modified":"2023-08-03T20:24:13","modified_gmt":"2023-08-03T20:24:13","slug":"ai-generated-deep-fake-voices-trick-over-1-4-of-participants-in-a-new-study","status":"publish","type":"post","link":"https:\/\/dailyai.com\/pt\/2023\/08\/ai-generated-deep-fake-voices-trick-over-1-4-of-participants-in-a-new-study\/","title":{"rendered":"Vozes falsas profundas geradas por IA enganam mais de 1\/4 dos participantes num novo estudo"},"content":{"rendered":"

Um novo estudo descobriu que, mesmo quando as pessoas t\u00eam consci\u00eancia de que podem estar a ouvir um discurso falso profundo, continuam a ter dificuldade em identificar com fiabilidade as vozes falsas.<\/b><\/p>\n

Isto aplica-se tanto a falantes de ingl\u00eas como de mandarim, sublinhando que as vozes falsas profundas s\u00e3o provavelmente eficazes em muitas l\u00ednguas.\u00a0<\/span><\/p>\n

Os investigadores da University College London pediram a 500 pessoas que identificassem um discurso falso profundo em v\u00e1rios clips de \u00e1udio. Alguns clipes inclu\u00edam uma voz feminina aut\u00eantica a ler frases gen\u00e9ricas em ingl\u00eas ou mandarim, enquanto outros eram falsifica\u00e7\u00f5es profundas produzidas por IAs generativas treinadas em vozes femininas.<\/span><\/p>\n

O <\/span>estudo<\/span><\/a> Os participantes foram divididos em dois grupos, cada um sujeito a uma forma diferente da experi\u00eancia.\u00a0<\/span><\/p>\n

Um grupo recebeu 20 amostras de voz na sua l\u00edngua materna e teve de discernir se os clips eram verdadeiros ou falsos. Os participantes identificaram corretamente as vozes falsas e as vozes aut\u00eanticas em cerca de 73% das vezes, tanto para as amostras de voz em ingl\u00eas como em mandarim.\u00a0<\/span><\/p>\n

Um grupo separado recebeu 20 pares de clips de \u00e1udio seleccionados aleatoriamente. Cada par apresentava a mesma frase proferida por um humano e a falsifica\u00e7\u00e3o profunda, e os participantes foram incumbidos de identificar a falsifica\u00e7\u00e3o. Isto aumentou a precis\u00e3o da dete\u00e7\u00e3o para 85,59%.<\/span><\/p>\n

Na primeira experi\u00eancia, a dete\u00e7\u00e3o humana de falsifica\u00e7\u00f5es profundas na vida real ser\u00e1 provavelmente mais fraca do que os resultados sugerem, uma vez que as pessoas n\u00e3o seriam avisadas de que poderiam estar a ouvir um discurso gerado por IA.\u00a0<\/span><\/p>\n

Por outro lado, os ouvintes t\u00eam uma escolha bin\u00e1ria na segunda experi\u00eancia, o que lhes confere uma vantagem.<\/span><\/p>\n

Curiosamente, houve relativamente pouca diferen\u00e7a nos resultados para o ingl\u00eas em mandarim.\u00a0<\/span><\/p>\n

Fraudes de discurso falso est\u00e3o a aumentar na vida real<\/h2>\n

\"Esta configura\u00e7\u00e3o n\u00e3o \u00e9 completamente representativa de cen\u00e1rios da vida real\", diz Mai. \"Os ouvintes n\u00e3o seriam informados de antem\u00e3o se o que est\u00e3o a ouvir \u00e9 real, e factores como o sexo e a idade do orador poderiam afetar o desempenho da dete\u00e7\u00e3o.\"<\/span><\/p>\n

No entanto, existem outras limita\u00e7\u00f5es, uma vez que o estudo n\u00e3o desafiou os ouvintes a determinar falsifica\u00e7\u00f5es profundas concebidas para soar como algu\u00e9m que conhecem, como um filho, uma m\u00e3e, etc. Se os burl\u00f5es visassem algu\u00e9m com uma falsifica\u00e7\u00e3o profunda, \u00e9 quase certo que clonariam a voz de algu\u00e9m. Isto \u00e9 relativamente f\u00e1cil se algu\u00e9m tiver carregado \u00e1udio ou v\u00eddeos de si pr\u00f3prio online, por exemplo, para um v\u00eddeo nas redes sociais, um podcast, uma emiss\u00e3o de r\u00e1dio ou de televis\u00e3o.\u00a0<\/span><\/p>\n

Isto j\u00e1 est\u00e1 a acontecer, com um <\/span>Inqu\u00e9rito da McAfee<\/span><\/a> que mostra que cerca de 1 em cada 4 adultos tem conhecimento da ocorr\u00eancia de fraudes com vozes falsas. <\/span><\/p>\n

A fraude relacionada com a IA tamb\u00e9m est\u00e1 a aumentar <\/span>aumento na China<\/span><\/a>e um analista <\/span>previu que<\/span><\/a> A fraude apoiada pela IA pode custar muito caro \u00e0s pessoas e \u00e0s economias. Existem in\u00fameras hist\u00f3rias assustadoras de pessoas que j\u00e1 foram alvo de chamadas falsas profundas, muitas vezes sob a forma de um familiar em p\u00e2nico a pedir dinheiro para o ajudar a sair de uma situa\u00e7\u00e3o dif\u00edcil.\u00a0<\/span><\/p>\n

Este estudo concluiu que as vozes falsas est\u00e3o a \"atravessar o vale da estranheza\", imitando o som natural das vozes humanas, mas sem as nuances subtis que provocam suspeitas em alguns ouvintes. \u00c9 claro que as vozes falsas profundas da IA est\u00e3o sempre a melhorar.\u00a0<\/span><\/p>\n

De um modo geral, o estudo prova que a tecnologia atual j\u00e1 \u00e9 altamente competente e que as tentativas de melhorar as capacidades dos indiv\u00edduos para detetar vozes falsas no estudo foram largamente mal sucedidas.\u00a0<\/span><\/p>\n

Os autores salientam a necessidade de desenvolver detectores de voz de IA competentes e de educar as popula\u00e7\u00f5es sobre o grau de sofistica\u00e7\u00e3o das vozes falsas profundas. <\/span><\/p>\n

A investiga\u00e7\u00e3o futura sobre as falsifica\u00e7\u00f5es profundas que reproduzem as vozes das pessoas que os participantes no estudo conhecem seria muito \u00fatil.<\/span><\/p>\n

Existem formas pr\u00e1ticas de identificar esquemas de falsifica\u00e7\u00e3o profunda da fala, como estabelecer palavras de c\u00f3digo entre membros da fam\u00edlia ou pedir a quem telefona que descreva uma informa\u00e7\u00e3o pessoal conhecida mutuamente.<\/p>","protected":false},"excerpt":{"rendered":"

Um novo estudo revelou que, mesmo quando as pessoas t\u00eam consci\u00eancia de que podem estar a ouvir um discurso falso profundo, continuam a ter dificuldade em identificar com fiabilidade as vozes falsas. Isto aplica-se tanto a falantes de ingl\u00eas como de mandarim, o que sublinha que as vozes falsas profundas s\u00e3o provavelmente eficazes em muitas l\u00ednguas. Os investigadores da University College London pediram a 500 pessoas que identificassem o discurso falso profundo em v\u00e1rios clips de \u00e1udio. Alguns clipes inclu\u00edam uma voz feminina aut\u00eantica a ler frases gen\u00e9ricas em ingl\u00eas ou mandarim, enquanto outros eram falsifica\u00e7\u00f5es profundas produzidas por IAs generativas treinadas em vozes femininas. Os participantes no estudo foram divididos em dois grupos, cada um dos quais<\/p>","protected":false},"author":2,"featured_media":3610,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[162,161,273],"class_list":["post-3608","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-deep-fake","tag-fraud","tag-speech"],"yoast_head":"\nAI-generated deep fake voices trick over 1\/4 of participants in a new study | DailyAI<\/title>\n<meta name=\"description\" content=\"A new study found that even when people are aware they could be listening to deep fake speech, they still struggle to reliably identify fake voices.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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