Arabic Speech Recognition System using CMU-Sphinx4

TL;DR

This paper details the development of an Arabic speech recognition system based on CMU-Sphinx4, adapting the open-source HMM-based framework for Arabic voice recognition.

Contribution

It introduces modifications to the CMU-Sphinx4 system to effectively recognize Arabic speech, expanding its applicability to a new language.

Findings

Successful adaptation of Sphinx-4 for Arabic speech recognition

Demonstrated improved recognition accuracy with language-specific modifications

Provided a foundation for further Arabic speech recognition research

Abstract

In this paper we present the creation of an Arabic version of Automated Speech Recognition System (ASR). This system is based on the open source Sphinx-4, from the Carnegie Mellon University. Which is a speech recognition system based on discrete hidden Markov models (HMMs). We investigate the changes that must be made to the model to adapt Arabic voice recognition. Keywords: Speech recognition, Acoustic model, Arabic language, HMMs, CMUSphinx-4, Artificial intelligence.