Phonetically rich and balanced speech corpus for Arabic speaker-independent continuous automatic speech recognition systems

• Main Authors: Abushariah, Mohammad Abd-Alrahman Mahmoud, Ainon, Raja Noor, Zainuddin, Roziati, Elshafei, Moustafa, Khalifa, Othman Omran
• Format: Conference or Workshop Item
• Language: English
• Published: 2010
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/6978/1/PHONETICALLY_RICH_AND_BALANCED_SPEECH_CORPUS_FOR_ARABIC_.pdf; http://irep.iium.edu.my/6978/; http://dx.doi.org/10.1109/ISSPA.2010.5605554

This paper describes an efficient framework for designing and developing Arabic speaker-independent continuous automatic speech recognition systems based on a phonetically rich and balanced speech corpus. The speech corpus contains 415 sentences recorded by 42 (21 male and 21 female) Arabic native s...