Using a Telephony Saudi Accented Arabic Corpus in Automatic Recognition of Spoken Arabic Digits

In this research, spoken Arabic digits are investigated from the speech recognition problem point of view. The system is designed to recognize an isolated whole-word speech. In the training and testing phase of this system, isolated digits data sets are taken from the telephony Arabic speech corpus, SAAVB. This standard corpus was developed by KACST and it is classified as a noisy speech database collected via fixed and mobile telephones. SAAVB consist of many subsets covering all digits, alphabets, read scripts, spontaneous speech, etc. SAAVB subsets that deal with Arabic digits are SAAVB01, SAAVB02, and SAAVB03. Four different experiments are conducted on these subsets, three on each individual set, and the fourth one conducted on these three subsets collectively. The recognition system achieved 93.67 % overall correct rate of digit recognition by using all subsets collectively