Literature Survey of Arabic Speech Recognition

Speech recognition poses some interesting challenges such as varying acoustic conditions, dialects, and articulation at word's boundaries. Large vocabulary speaker-independent continuous speech recognition systems have recently received significant attention. In this paper, we present a survey of Arabic speech recognition that even has more challenges such as the optional diacritization of the Arabic script. Even though Arabic is a live language that is spreading widely throughout a large area, the research devoted to this technology still in the early stages compared to other languages such as English language. In this study, we highlight the progress made so far in Arabic speech recognition field that include corpora, phonemes, language models, acoustic models, and some promising research directions. This survey reveals that the shortage of freely available continuous speech corpora deserves more research attention in this domain. It also shows a need to compile large corpora or a benchmark, as it will be a key factor to promote the Arabic language research for effective human-computer interaction.