Reading KITTY: Pitch Range as an Indicator of Reading Skill

Alfredo Gomez, Alicia Ngo, Alessandra Otondo, Julie Medero


Abstract
While affective outcomes are generally positive for the use of eBooks and computer-based reading tutors in teaching children to read, learning outcomes are often poorer (Korat and Shamir, 2004). We describe the first iteration of Reading Kitty, an iOS application that uses NLP and speech processing to focus children’s time on close reading and prosody in oral reading, while maintaining an emphasis on creativity and artifact creation. We also share preliminary results demonstrating that pitch range can be used to automatically predict readers’ skill level.
Anthology ID:
W19-3652
Volume:
Proceedings of the 2019 Workshop on Widening NLP
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | WS | WiNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
163–165
Language:
URL:
https://www.aclweb.org/anthology/W19-3652
DOI:
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