Automatic speech recognition and text-to-speech technologies for L2 pronunciation improvement: reflections on their affordances
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Redalyc
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidade Federal de Minas Gerais
2022
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| _version_ | 1876480542799560704 |
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| author | William Gottardi |
| author_facet | William Gottardi |
| contents | Automatic speech recognition and text-to-speech technologies for L2 pronunciation improvement: reflections on their affordances William Gottardi Janaina Fernanda de Almeida Celso Henrique Soufen Tumolo Multidisciplinarias (Ciencias, Ciencias Sociales, Artes y Humanidades) to Text CALL speech Pronunciation teaching This paper presents a reflection on two technologies - automatic speech recognition (ASR) and Text-to-Speech (TTS) - to improve learners’ pronunciation, aiming for successful spoken communication. It sheds some light on the practical usage of these technologies, demonstrating their effectiveness, qualities, and limitations to assist teachers in deciding the most efficient digital resources applied to their students’ needs. A review of literature on previous empirical studies was carried out, with quantitative and/or qualitative studies conducted by researchers in the field, investigating teachers’ and learners’ perceptions and the use of ASR and TTS as a pedagogical tool for pronunciation practice. As a result, it was concluded that a) the presented resources seem to have the potential to enhance pronunciation practice, both in terms of perception and production; b) technology can result in considerable benefits to learners, mainly as a supplement to pronunciation teaching; and c) the use of these digital resources is a way of giving learners the opportunity to focus on their specific difficulties and receive personalized feedback while becoming more autonomous in their learning process. 2022 artículo científico 1983-3652 https://www.redalyc.org/articulo.oa?id=577170677012 https://www.redalyc.org/journal/5771/577170677012/ https://www.redalyc.org/journal/5771/577170677012/html/ https://www.redalyc.org/journal/5771/577170677012/577170677012.epub https://www.redalyc.org/journal/5771/577170677012/movil 10.35699/1983-3652.2022.36736 en http://www.redalyc.org/revista.oa?id=5771 Texto Livre: Linguagem e Tecnologia application/pdf Universidade Federal de Minas Gerais Texto Livre: Linguagem e Tecnologia (Brasil) Vol.15 |
| format | Artículo científico |
| id | redalyc_577170677012 |
| institution | Redalyc |
| language | en |
| publishDate | 2022 |
| publisher | Universidade Federal de Minas Gerais |
| spellingShingle | Automatic speech recognition and text-to-speech technologies for L2 pronunciation improvement: reflections on their affordances William Gottardi Multidisciplinarias (Ciencias, Ciencias Sociales, Artes y Humanidades) to Text CALL speech Pronunciation teaching Automatic speech recognition and text-to-speech technologies for L2 pronunciation improvement: reflections on their affordances William Gottardi Janaina Fernanda de Almeida Celso Henrique Soufen Tumolo Multidisciplinarias (Ciencias, Ciencias Sociales, Artes y Humanidades) to Text CALL speech Pronunciation teaching This paper presents a reflection on two technologies - automatic speech recognition (ASR) and Text-to-Speech (TTS) - to improve learners’ pronunciation, aiming for successful spoken communication. It sheds some light on the practical usage of these technologies, demonstrating their effectiveness, qualities, and limitations to assist teachers in deciding the most efficient digital resources applied to their students’ needs. A review of literature on previous empirical studies was carried out, with quantitative and/or qualitative studies conducted by researchers in the field, investigating teachers’ and learners’ perceptions and the use of ASR and TTS as a pedagogical tool for pronunciation practice. As a result, it was concluded that a) the presented resources seem to have the potential to enhance pronunciation practice, both in terms of perception and production; b) technology can result in considerable benefits to learners, mainly as a supplement to pronunciation teaching; and c) the use of these digital resources is a way of giving learners the opportunity to focus on their specific difficulties and receive personalized feedback while becoming more autonomous in their learning process. 2022 artículo científico 1983-3652 https://www.redalyc.org/articulo.oa?id=577170677012 https://www.redalyc.org/journal/5771/577170677012/ https://www.redalyc.org/journal/5771/577170677012/html/ https://www.redalyc.org/journal/5771/577170677012/577170677012.epub https://www.redalyc.org/journal/5771/577170677012/movil 10.35699/1983-3652.2022.36736 en http://www.redalyc.org/revista.oa?id=5771 Texto Livre: Linguagem e Tecnologia application/pdf Universidade Federal de Minas Gerais Texto Livre: Linguagem e Tecnologia (Brasil) Vol.15 |
| title | Automatic speech recognition and text-to-speech technologies for L2 pronunciation improvement: reflections on their affordances |
| topic | Multidisciplinarias (Ciencias, Ciencias Sociales, Artes y Humanidades) to Text CALL speech Pronunciation teaching |
| url | https://www.redalyc.org/articulo.oa?id=577170677012 https://www.redalyc.org/journal/5771/577170677012/ https://www.redalyc.org/journal/5771/577170677012/html/ https://www.redalyc.org/journal/5771/577170677012/577170677012.epub https://www.redalyc.org/journal/5771/577170677012/movil |