In this paper, the issue of adding diacritics Tashkeel to undiacritized Arabic text using
statistical methods for language modeling is addressed. The approach requires a large …

This paper considers the hypothesis that voting between multiple data representations can
be more accurate than voting between multiple learning models. This hypothesis has been …

We present an approach to Arabic automatic diacritization that integrates syntactic analysis
with morphological tagging through improving the prediction of case and state features. Our …

This paper provides a literature survey about Automatic Speech Recognition (ASR) systems
for learning Arabic language and Al-Quran Recitation. The growth in communication …

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 …

This paper describes the development of an Arabic broadcast news transcription system.
The presented system is a speaker-independent large vocabulary natural Arabic speech …

Text-to-speech synthesis system has been widely studied for many languages. However,
speech synthesis for Arabic language has not sufficient progresses and it is still in its first …

Phonetic dictionaries are essential components of large-vocabulary natural language
speaker-independent speech recognition systems. This paper presents a rule-based …

This study is specifically concerned with the statistical analysis of the Arabic phonemes due
to its significant role in continuous Arabic Speech Recognition System (ASR). When building …

One of the problems in the speech recognition of Modern Standard Arabic (MSA) is the cross-
word pronunciation variation. Cross-word pronunciation variations alter the phonetic …