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

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

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...

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Bibliographic Details
Main Authors:	Abushariah, Mohammad Abd-Alrahman Mahmoud, Ainon, Raja Noor, Zainuddin, Roziati, Elshafei, Moustafa, Khalifa, Othman Omran
Format:	Proceeding Paper
Language:	English
Published:	2010
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/6978/ http://irep.iium.edu.my/6978/1/PHONETICALLY_RICH_AND_BALANCED_SPEECH_CORPUS_FOR_ARABIC_.pdf

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