@inproceedings{li2008automatic,
author = {Li, Xiaolong(Shiao-Long) and Deng, Li and Ju, Y. C. and Acero, Alex},
title = {Automatic Children's Reading Tutor on Hand-Held Devices},
booktitle = {Proceedings of InterSpeech 2008},
year = {2008},
month = {September},
abstract = {This paper presents an Automatic Reading Tutoring (ART) system using state-of-the-art speech recognition technologies aimed to improve children’s oral reading ability. The features of this system include a compact and robust language model designed for detecting disfluencies in children’s speech, low-footprint implementation, and built-in microphone array. Our system is targeting on hand-held devices to provide better accessibility, flexibility, and freedom for children’s reading practice. The focus of this paper is on the current system’s architecture, which has achieved real-time performance on two hand-held, small-form-factor devices (UMPC and Motion Tablet), with the same detection rate and false alarm rate as on desktop PCs. We also report the latest effort on a prototype system running on a PDA (Windows Mobile 6).},
publisher = {International Speech Communication Association},
url = {http://approjects.co.za/?big=en-us/research/publication/automatic-childrens-reading-tutor-on-hand-held-devices/},
pages = {1733-1736},
edition = {Proceedings of InterSpeech,2008, Proceedings of Interspeech},
note = {Brisbane, Australia},
}