Inteligência artificial em audiolivros: aplicações e perspectivas
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O uso de técnicas de Inteligência artificial (IA) no contexto dos audiolivros tem ampliado as possibilidades de acessibilidade, personalização e imersão, permitindo desde o reconhecimento e a síntese de voz até experiências multimodais interativas e recomendações personalizadas, além de potencializar a recuperação de conteúdo e ampliar o acesso à informação. Este estudo teve como objetivo identificar, na literatura acadêmica, estudos sobre o uso da IA em audiolivros. Para tanto, foi realizada uma revisão de literatura nas bases Scopus, Web of Science, ACM Digital Library, IEEE Xplore e Scielo, entre maio e agosto de 2025, resultando na seleção e análise de 35 artigos. Os resultados revelam que os trabalhos concentram-se em quatro categorias: (i) reconhecimento de fala; (ii) síntese de voz e personalização; (iii) experiências baseadas em voz; e (iv) IA generativa e LLMs. Observou-se que predominam estudos técnicos voltados para o Reconhecimento Automático de Fala e Síntese de Voz, enquanto experiências baseadas em voz e aplicações de LLMs ainda aparecem de forma emergente, indicando tendências futuras. Os audiolivros também são frequentemente utilizados como corpus técnico para o desenvolvimento de modelos, com poucos estudos voltados à melhoria direta da experiência de uso, além de uma escassez de pesquisas na área da Ciência da Informação. Conclui-se que, apesar dos avanços recentes, há lacunas relativas à falta de estudos centrados no usuário e ao uso predominante dos audiolivros como corpus técnico, assim como poucos aspectos éticos e sociais. Este panorama oferece subsídios teóricos e práticos para pesquisas futuras na área.
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