On The Use of Decision Trees for Arabic Pronunciation Assessment
Khaled Necibi, Hamza Frihia, Halima Bahi · 2015
In the context of Computer Assisted Pronunciation Teaching (CAPT) and especially for the pronunciation evaluation, an Arabic speech recognizer is built and used to provide us with machine scores which will be used to assess the pronunciation of Arabic young learners. Most of the times, empirical thresholds are set to accept or reject the pronunciation. In this paper, we investigate the possibility of using decision trees as a tool to set automatically these thresholds. The aim of this study is to be able to separate between Algerian young pupils who may have disabilities in pronunciation from those who have normal pronunciation. Because having serious pronunciation difficulties can affect the whole educational career of pupils, our aim is to provide them with a tool based on speech recognition technology that can diagnosis different pronunciation problems.