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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Main Author: Michael Carrier
Format: Article
Language:English
Published: Peoples’ Friendship University of Russia (RUDN University) 2017-02-01
Series:Training, Language and Culture
Subjects:
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
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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.
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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