Arabic Speech Recognition System using CMU-Sphinx4

2007/04/17 by Hassan Satori, H. Satori, Satori, H. +6
Computer Science · #Advanced Data Compression Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Speech Recognition and Synthesis #Speech and Audio Processing #cs.AI #cs.CL

paper · pdf · doi:10.48550/arxiv.0704.2201

5 pages, 3 figures and 2 tables, in French

arxiv created 2007/04/17 · openalex publication_date 2007/04/17 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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