Mon-S&T-2-5 Computer-Assisted Language Learning System: Automatic Speech Evaluation for Singapore an Children Learning Malay and Tamil

Ke Shi(Institute for Infocomm Research) Kye Min Tan(Institute for Infocomm Research), Siti Umairah Md Salleh(Institute for Infocomm Research), Nur Farah Ain Binte Suhaimi(Institute for Infocomm Research), Rajan s/o Vellu(Institute for Infocomm Research), Thai Ngoc Thuy Huong Helen(Institute for Infocomm Research), Nancy F. Chen(Institute for Infocomm Research)
Abstract: We present a computer-assisted language learning system that automatically evaluates the pronunciation and fluency of spoken Malay and Tamil. Our system consists of a server and a userfacing Android application, where the server is responsible for speech-to-text alignment as well as pronunciation and fluency scoring. We describe our system architecture and discuss the technical challenges associated with low resource languages. To the best of our knowledge, this work is the first pronunciation and fluency scoring system for Malay and Tamil.
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