| Presentation # | 8 |
| Session: | Corpora and Evaluation Methodologies |
| Location: | Kallirhoe Hall |
| Session Time: | Wednesday, December 19, 13:30 - 15:30 |
| Presentation Time: | Wednesday, December 19, 13:30 - 15:30 |
| Presentation: |
Poster
|
| Topic: |
Evaluation methodologies: Educational: |
| Paper Title: |
Evaluating On-device ASR on Field Recordings from an Interactive Reading Companion |
| Authors: |
Anastassia Loukina, Nitin Madnani, Beata Beigman Klebanov, Abhinav Misra, Educational Testing Service, United States; Georgi Angelov, Astea Solutions, Bulgaria; Ognjen Todic, Keen Research, United States |
| Abstract: |
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. |