评估交互式阅读伴侣现场记录的设备上ASR

Anastassia Loukina, Nitin Madnani, Beata Beigman Klebanov, A. Misra, Georgi Angelov, O. Todic
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引用次数: 4

摘要

许多旨在评估和提高口语阅读流畅性的应用程序使用自动语音识别(ASR)向学生、教师和家长提供反馈。大多数这样的应用程序依赖于分布式架构,其语音识别组件位于云端。对于交互式应用程序,这种方法需要可靠的Internet连接,而这种连接可能并不总是可用的。我们研究了设备上的ASR是否可以用于虚拟阅读同伴,使用从受控环境和现场儿童中获得的记录。我们有限的评估使我们对在我们的应用中使用设备上ASR的可行性持谨慎乐观的态度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating on-device ASR on Field Recordings from an Interactive Reading Companion
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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