Using Google Voice Typing to Automatically Assess Pronunciation

Using Google Voice Typing to Automatically Assess Pronunciation

This study examined the use of a popular Automatic Speech Recognition (ASR), Google Voice Typing (GVT), to automatically assess English as second language pronunciation. It aimed to answer the following question: What is the relationship between GVT-rated scores and human-rated scores? To answer thi...

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Veröffentlicht in:Research-publishing.net 2022
Hauptverfasser: Johnson, Carol, Cardoso, Walcir, Zuercher, Beau, Brannen, Kathleen, Springer, Suzanne
Format: Report
Sprache:eng
Schlagworte:
Audio Equipment
Comparative Analysis
Computer Software
Correlation
English (Second Language)
Evaluators
Foreign Countries
Language Tests
Pronunciation
Scores
Second Language Instruction
Second Language Learning
Speech Communication
Student Evaluation
Student Placement
Teaching Methods
Test Use
Undergraduate Students
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Zusammenfassung:This study examined the use of a popular Automatic Speech Recognition (ASR), Google Voice Typing (GVT), to automatically assess English as second language pronunciation. It aimed to answer the following question: What is the relationship between GVT-rated scores and human-rated scores? To answer this question, we compared audio recordings of 56 oral placement tests, rated by both human raters and GVT. Our results indicate that GVT scores strongly correlated with human-rater scores, indicating that this non-customizable ASR technology could be leveraged to increase the test usefulness of language placement tests. [For the complete volume, "Intelligent CALL, Granular Systems and Learner Data: Short Papers from EUROCALL 2022 (30th, Reykjavik, Iceland, August 17-19, 2022)," see ED624779.]