1 research outputs found
Arabic Language Learning Assisted by Computer, based on Automatic Speech Recognition
This work consists of creating a system of the Computer Assisted Language
Learning (CALL) based on a system of Automatic Speech Recognition (ASR) for the
Arabic language using the tool CMU Sphinx3 [1], based on the approach of HMM.
To this work, we have constructed a corpus of six hours of speech recordings
with a number of nine speakers. we find in the robustness to noise a grounds
for the choice of the HMM approach [2]. the results achieved are encouraging
since our corpus is made by only nine speakers, but they are always reasons
that open the door for other improvement works