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Publication
Entre timbres e bytes – o futuro da locução de rádio com a inteligência artificial
| Name: | Description: | Size: | Format: | |
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| 1.11 MB | Adobe PDF |
Advisor(s)
Abstract(s)
Esta dissertação analisa a evolução da rádio em articulação com os avanços tecnológicos, com ênfase na aplicação da inteligência artificial na locução por meio de vozes sintéticas. O estudo parte da observação de mudanças nos modos de produção radiofônica, impulsionadas por ferramentas digitais e automações vocais, que vêm sendo gradualmente incorporadas às emissoras em diferentes contextos. A pesquisa adota uma abordagem qualitativa, fundamentada na Análise de Conteúdo proposta por Bardin (2011), e se baseia em entrevistas com seis profissionais da área da comunicação — três no Brasil e três em Portugal — com experiência em locução e em práticas radiofônicas. As entrevistas foram conduzidas de forma remota, a partir de um roteiro semiestruturado, e incluíram uma experiência auditiva com trechos de locução humana e artificial, sem identificação prévia. O objetivo foi compreender como os profissionais percebem a presença da inteligência artificial no ambiente radiofônico, especialmente no que se refere à expressividade, à credibilidade da voz e à recepção do ouvinte. O material coletado foi codificado e categorizado segundo critérios temáticos, respeitando os princípios da análise qualitativa.
This dissertation analyzes the evolution of radio in connection with technological advancements, with an emphasis on the application of artificial intelligence in voiceover through synthetic voices. The study is based on the observation of changes in radio production processes driven by digital tools and vocal automation, which have been gradually adopted by radio stations in different contexts. The research follows a qualitative approach, grounded in the Content Analysis method proposed by Bardin (2011), and is based on interviews with six communication professionals—three in Brazil and three in Portugal—with experience in radio voiceover and broadcasting practices. The interviews were conducted remotely using a semi-structured script and included a listening experience with human and synthetic voice samples, presented without prior identification. The aim was to understand how professionals perceive the presence of artificial intelligence in the radio environment, particularly regarding expressiveness, voice credibility, and listener reception. The collected material was coded and categorized according to thematic criteria, in line with qualitative analysis principles.
This dissertation analyzes the evolution of radio in connection with technological advancements, with an emphasis on the application of artificial intelligence in voiceover through synthetic voices. The study is based on the observation of changes in radio production processes driven by digital tools and vocal automation, which have been gradually adopted by radio stations in different contexts. The research follows a qualitative approach, grounded in the Content Analysis method proposed by Bardin (2011), and is based on interviews with six communication professionals—three in Brazil and three in Portugal—with experience in radio voiceover and broadcasting practices. The interviews were conducted remotely using a semi-structured script and included a listening experience with human and synthetic voice samples, presented without prior identification. The aim was to understand how professionals perceive the presence of artificial intelligence in the radio environment, particularly regarding expressiveness, voice credibility, and listener reception. The collected material was coded and categorized according to thematic criteria, in line with qualitative analysis principles.
Description
Keywords
rádio inteligência artificial vozes sintéticas locução automatizada tecnologias da comunicação. radio artificial intelligence synthetic voices automated voiceover communication technologies