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ERIC Number: EJ1165166
Record Type: Journal
Publication Date: 2017
Pages: 11
Abstractor: As Provided
ISSN: ISSN-1832-4215
The Suitability of Cloud-Based Speech Recognition Engines for Language Learning
Daniels, Paul; Iwago, Koji
JALT CALL Journal, v13 n3 p229-239 2017
As online automatic speech recognition (ASR) engines become more accurate and more widely implemented with call software, it becomes important to evaluate the effectiveness and the accuracy of these recognition engines using authentic speech samples. This study investigates two of the most prominent cloud-based speech recognition engines--Apple's Siri and Google Speech Recognition (GSR) to determine which engine would be more accurate at transcribing L2 learners' speech. The average recognition accuracy of Siri and GSR is reported using language samples of Japanese learners speaking English. The study also presents a series of computerized speech assessment tasks that were developed by the researchers using a cloud-based speech recognition engine in conjunction with Moodle, a widely used course management system.
JALT CALL SIG. 1-6-1 Nishiwaseda Shinjuku-ku, Tokyo, 169-8050, Japan. e-mail: journal!; Web site:
Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Japan
Grant or Contract Numbers: N/A