3 accepted papers
In education, analyzing student oral reading is critical to reading comprehension, vocabulary development, and fluency. Automating these assessments is a crucial part of language research– however, researchers often use a separate model for each assessment. Transferring knowledge between assessments…
Oral reading fluency assessment is a process where a student reads a passage aloud and is scored against words read correctly by a human listener. Current automatic reading fluency systems match these words read using speech recognition models trained with clean speech data from native adult speaker…
Automated prosody classification in the context of oral reading fluency is a critical area for the objective evaluation of students’ reading proficiency. In this work, we present the largest dataset to date in this domain. It includes spoken phrases from over 1,300 students assessed by multiple trai…