An Arabic speech corpus: a database for Arabic speech recognition

Abstract

This paper describes the creation of new Arabic Speech Corpus (ASC) for Large Vocabulary Continuous Speech Recognition (LVCSR) technology. It describes the steps of creation and the process of recording the database used for the ASC. The ASC is designed to be comparable to corpora of other natural languages. The corpus contains 4740 utterances from Six speakers (three males and three females). There are 620 statements for training and 171 statements for testing and evaluation for each speaker. There are 3622 words, with 27725 triphones, where 5034 of them are unique