Evaluating on-device ASR on Field Recordings from an Interactive Reading Companion
Anastassia Loukina, Nitin Madnani, Beata Beigman Klebanov, Abhinav Misra, Georgi Angelov, Ognjen Todic · 2018
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.