Tecnologias de reconhecimento automático da fala e texto-fala para o aprimoramento da pronúncia em L2

reflexões das suas aplicabilidades

Autores

DOI:

https://doi.org/10.35699/1983-3652.2022.36736

Palavras-chave:

Reconhecimento automático da fala, Texto-fala, CALL, Ensino de pronúncia, Aprimoramento de pronúncia

Resumo

Este artigo apresenta uma reflexão sobre duas tecnologias – reconhecimento automático da fala (ASR – Automatic Speech Recognition) e texto-fala (TTS – Text-to-Speech) – para aprimorar a pronúncia dos alunos, visando a uma comunicação oral competente. O trabalho explora o uso dessas tecnologias, demonstrando sua eficácia, qualidades e limitações para ajudar os professores a decidirem os recursos digitais mais eficientes aplicados às necessidades de seus alunos. Foi realizada uma revisão bibliográfica de estudos empíricos prévios, com pesquisas quantitativas e/ou qualitativas realizadas por pesquisadores da área, investigando as percepções de professores e alunos e o uso de ASR e TTS como ferramentas pedagógicas para o ensino de pronúncia. Como resultado, concluiu-se que a) os recursos apresentados demonstram ter potencial para aprimorar a prática da pronúncia, tanto em termos de percepção como produção; b) a tecnologia pode resultar em benefícios consideráveis para os alunos, principalmente como um suplemento ao ensino de pronúncia; e c) o uso desses recursos digitais é uma forma de dar aos alunos a oportunidade de focar em suas dificuldades específicas e receber um retorno personalizado, tornando-os mais autônomos em seu processo de aprendizagem.

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2022-02-10

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GOTTARDI, W.; ALMEIDA, J. F. de; TUMOLO, C. H. S. Tecnologias de reconhecimento automático da fala e texto-fala para o aprimoramento da pronúncia em L2: reflexões das suas aplicabilidades. Texto Livre, Belo Horizonte-MG, v. 15, p. e36736, 2022. DOI: 10.35699/1983-3652.2022.36736. Disponível em: https://periodicos.ufmg.br/index.php/textolivre/article/view/36736. Acesso em: 1 jul. 2022.

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