Introduction to Arabic Speech Recognition Using CMUSphinx System
| dc.creator | Satori, H. | |
| dc.creator | Harti, M. | |
| dc.creator | Chenfour, N. | |
| dc.date | 2007-04-17 | |
| dc.date.accessioned | 2026-07-07T07:56:49Z | |
| dc.date.available | 2026-07-07T07:56:49Z | |
| dc.description | In this paper Arabic was investigated from the speech recognition problem point of view. We propose a novel approach to build an Arabic Automated Speech Recognition System (ASR). This system is based on the open source CMU Sphinx-4, from the Carnegie Mellon University. CMU Sphinx is a large-vocabulary; speaker-independent, continuous speech recognition system based on discrete Hidden Markov Models (HMMs). We build a model using utilities from the OpenSource CMU Sphinx. We will demonstrate the possible adaptability of this system to Arabic voice recognition. | |
| dc.description | 4 pages, 3 figures and 2 tables, was in Information and Communication Technologies International Symposium proceeding ICTIS07 Fes (2007) | |
| dc.identifier | https://arxiv.org/abs/0704.2083 | |
| dc.identifier | http://arxiv.org/abs/0704.2083 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/127454 | |
| dc.subject | Computation and Language | |
| dc.subject | Artificial Intelligence | |
| dc.subject | I.2.7 | |
| dc.title | Introduction to Arabic Speech Recognition Using CMUSphinx System | |
| dc.type | text |