Lalilo: a reading assistant for children featuring speech recognition-based reading mistake detection
Year: 2021
Type: conference-paper
Abstract: Lalilo is a reading assistant intended to help kindergarten to second grade students to master their reading skills. Students progress at their own pace thanks to an adaptive learning system that differentiates instructions. Teachers can access data on their students' progression. Among other exercises, a readaloud exercise is provided for students to practice their reading. This exercise uses a reading mistake detection system based on speech recognition to offer automatic feedback on the child's reading. Since speech recognition on children learning to read is highly challenging, we overcome potential inaccurate thus damageable feedback with an uncertainty estimation leading to a neutral feedback.
Source: HAL
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W4285455743