Automated Speech Recognition in language learning: Potential models, benefits and impact
The study considers Automated Speech Recognition (ASR) in language learning arguing that speech recognition has reached a level of accuracy where it is powering automatic translation and testing. The author considers the impact of ASR technology on language teaching, describes the process of the dev...
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Format: | Article |
Language: | English |
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Peoples’ Friendship University of Russia (RUDN University)
2017-02-01
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Series: | Training, Language and Culture |
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Online Access: | https://rudn.tlcjournal.org/archive/1(1)/1(1)-03.pdf |
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author | Michael Carrier |
author_facet | Michael Carrier |
author_sort | Michael Carrier |
collection | DOAJ |
description | The study considers Automated Speech Recognition (ASR) in language learning arguing that speech recognition has reached a level of accuracy where it is powering automatic translation and testing. The author considers the impact of ASR technology on language teaching, describes the process of the development of appropriate pedagogical models, and explains how to prepare teachers for their application. The study will give a critical analysis of the pedagogical uses and dangers of ASR technology and address how ASR can be used to automate language assessment. |
first_indexed | 2024-12-21T02:43:12Z |
format | Article |
id | doaj.art-87f2b466a84142f39ec14cff38741cc8 |
institution | Directory Open Access Journal |
issn | 2520-2073 2521-442X |
language | English |
last_indexed | 2024-12-21T02:43:12Z |
publishDate | 2017-02-01 |
publisher | Peoples’ Friendship University of Russia (RUDN University) |
record_format | Article |
series | Training, Language and Culture |
spelling | doaj.art-87f2b466a84142f39ec14cff38741cc82022-12-21T19:18:38ZengPeoples’ Friendship University of Russia (RUDN University)Training, Language and Culture2520-20732521-442X2017-02-0111466110.29366/2017tlc.1.1.3Automated Speech Recognition in language learning: Potential models, benefits and impactMichael Carrier0Highdale ConsultingThe study considers Automated Speech Recognition (ASR) in language learning arguing that speech recognition has reached a level of accuracy where it is powering automatic translation and testing. The author considers the impact of ASR technology on language teaching, describes the process of the development of appropriate pedagogical models, and explains how to prepare teachers for their application. The study will give a critical analysis of the pedagogical uses and dangers of ASR technology and address how ASR can be used to automate language assessment.https://rudn.tlcjournal.org/archive/1(1)/1(1)-03.pdfautomated speech recognitionasreltspeech-to-speech translationtranslation softwarespeech synthesisautomated assessment |
spellingShingle | Michael Carrier Automated Speech Recognition in language learning: Potential models, benefits and impact Training, Language and Culture automated speech recognition asr elt speech-to-speech translation translation software speech synthesis automated assessment |
title | Automated Speech Recognition in language learning: Potential models, benefits and impact |
title_full | Automated Speech Recognition in language learning: Potential models, benefits and impact |
title_fullStr | Automated Speech Recognition in language learning: Potential models, benefits and impact |
title_full_unstemmed | Automated Speech Recognition in language learning: Potential models, benefits and impact |
title_short | Automated Speech Recognition in language learning: Potential models, benefits and impact |
title_sort | automated speech recognition in language learning potential models benefits and impact |
topic | automated speech recognition asr elt speech-to-speech translation translation software speech synthesis automated assessment |
url | https://rudn.tlcjournal.org/archive/1(1)/1(1)-03.pdf |
work_keys_str_mv | AT michaelcarrier automatedspeechrecognitioninlanguagelearningpotentialmodelsbenefitsandimpact |