Arabic letters corpus based Malay speaker-independent

Arabic language is used as a second language by a wide category of Muslims for reciting the Holy book of Muslims (Qur'an). In this paper, a description of an effective and usable Arabic letters corpus uttered by Malay speakers. This corpus can be used to study the properties and the differences of pronunciations for non native. The designed corpus consists of 1400 samples recorded by 50 Malay individuals (25 males and 25 females). The corpus is recorded using low sensitive device with Zero-Crossing Rate used for removing the noise and sustained only the significant portion of speech signal with 11025 Hz as sampling rate. This database will be the pioneer corpuses database in speech recognition specifically for Malay community.