Análise do reconhecimento automático de fala aplicado ao ensino de pronúncia de língua estrangeira
One of the challenges when learning a new language is pronunciation. This final paper aims tovalidate the use of automatic speech recognition technology applied to teaching pronunciation.According to the research presented, there is no consensus among researchers about howefficient the t...
| Autor principal: | Gomes, Rafael Souza |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2023
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/30386 |
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| Resumo: |
One of the challenges when learning a new language is pronunciation. This final paper aims tovalidate the use of automatic speech recognition technology applied to teaching pronunciation.According to the research presented, there is no consensus among researchers about howefficient the technology can be. Therefore, the work aims primarily to analyze and comparethe assertiveness rate of the APIs: Google Speech to Text, Rev.Ai, and Web Speech API.The second part of the work consists of carrying out a practical test with English studentsthrough a prototype of a pronunciation teaching application that uses the Web Speech API forautomatic transcriptions. Thus, it is expected that the results of this work can contribute tofuture educational projects that use automatic speech recognition. |
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