Evaluating On-Device Asr On Field Recordings From An Interactive Reading Companion

2018 IEEE WORKSHOP ON SPOKEN LANGUAGE TECHNOLOGY (SLT 2018)(2018)

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摘要
Many applications designed to assess and improve oral reading fluency use automated speech recognition (ASR) to provide feedback to students, teachers, and parents. Most such applications rely on a distributed architecture with the speech recognition component located in the cloud. For interactive applications, this approach requires a reliable Internet connection that may not always be available. We investigate whether on-device ASR can be used for a virtual reading companion using recordings obtained from children both in a controlled environment and in the field. Our limited evaluation makes us cautiously optimistic about the feasibility of using on-device ASR for our application.
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关键词
human-computer interaction, embedded recognizers, reading fluency assessment, child speech
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