This paper presents a new hybrid method for continuous Arabic speech recognition based
on triphones modelling. To do this, we apply Support Vectors Machine (SVM) as an …

This paper provides an analysis of cues to identify Arabic vowels. A new algorithm for vowel
identification has been developed that uses formant frequencies. The algorithm extracts the …

This paper describes the development of a new Arabic isolated word speaker dependent
recognition system based on a combination of several features extraction and classifications …

This paper reports the results of the first phase of a research work for building a high
performance, speaker-independent natural Arabic speech recognition system. This work …

Hidden Markov Models (HMM) are currently widely used in Automatic Speech Recognition
(ASR) as being the most effective models. Yet, they sometimes pose some problems of …

Phonetic dictionaries are regarded as pivotal components of speech recognition systems.
The function of speech recognition research is to generate a machine which will accurately …

Résumé Dans ce contexte, notre contribution porte sur le développement d'un Système de
Reconnaissance Automatique de la Parole (SRAP) servant à l'identification de mots isolés …

This paper presents the use of multiple hybrid systems for the recognition of isolated words
from a large multi-dialect Arabic vocabulary. Such as the Hidden Markov models (HMM) …

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Even if the progress of Hidden Markov Models (HMM) is huge, those models lack a
discriminatory ability especially on speech recognition. In order to ameliorate the results of …