Automatic speech recognition (ASR) is a crucial field of science due to its massive
applications that can be developed to help humans to improve their daily life tasks. Despite …

Automatic recognition of Arabic dialectal speech is a challenging task because Arabic
dialects are essentially spoken varieties. Only few dialectal resources are available to date; …

Although Arabic is currently one of the most widely spoken languages in the world, there has
been relatively little speech recognition research on Arabic compared to other languages …

Language modeling is a difficult problem for languages with rich morphology. In this paper
we investigate the use of morphology-based language models at different stages in a …

We summarize recent progress in automatic speech-to-text transcription at SRI, ICSI, and the
University of Washington. The work encompasses all components of speech modeling found …

Many of the world's languages have a multitude of dialects which differ considerably from
each other in their linguistic properties. Dialects are often spoken rather than written …

Arabic diacritization (referred to sometimes as vocalization or vowelling), defined as the full
or partial representation of short vowels, shadda (consonantal length or germination) …

The pronunciation variation is a well-known phenomenon that has been widely investigated
for automatic speech recognition (ASR). The knowledge-based phonological rules are …

The research proposed here was for an Arabic speech recognition application,
concentrating on the Lebanese dialect. The system starts by sampling the speech, which …

Many languages, including Arabic, are characterized by a wide variety of different dialects
that often differ strongly from each other. When develo** speech technology for dialect …