Abstract
How accurately can the Google Web Speech API recognize and transcribe Japanese L2 English learners’ oral production?
Highlights
Automated speech recognition is revolutionizing the way humans interact with computers, second language (l2) learning researchers are understandably excited about its potential to help revolutionize how efl students acquire a second language
We were interested in exploring whether the Google Web Speech api could be used to help automatically score l2 learners’ performance on elicited imitation tests designed to measure spoken grammatical ability, but in order to reach that goal a number of exploratory, preparatory steps needed to be taken to assess the viability of using the api to create a custom Google Web Speech system
Procedure we would like to use a custom asr system to score an ei test, but first we needed to check to see how accurate the Google Web Speech api-based system designed for this study was at recognizing, transcribing and scoring input
Summary
Automated speech recognition (asr) is revolutionizing the way humans interact with computers, second language (l2) learning researchers are understandably excited about its potential to help revolutionize how efl students acquire a second language. We were interested in exploring whether the Google Web Speech api could be used to help automatically score l2 learners’ performance on elicited imitation (ei) tests designed to measure spoken grammatical ability, but in order to reach that goal a number of exploratory, preparatory steps needed to be taken to assess the viability of using the api to create a custom Google Web Speech system. The aim of this study was to ascertain how accurately our custom Google Web Speech system could recognize and transcribe both native speakers’ and Japanese l2 English learners’ oral production. “Research on speech recognition dates back to the 1930s when at&t’s Bell
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