Statistical modeling for speech recognition

Khalifa, Othman Omran and El-Darymli, Khalid Khalil and Hassan Abdalla Hashim, Aisha and Daoud, Jamal Ibrahim (2013) Statistical modeling for speech recognition. World Applied Sciences Journal (21). pp. 115-122. ISSN 1818-4952

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Abstract

The demand of intelligent machines that may recognize the spoken speech and respond in a natural voice has been driving speech research. The challenging in speech recognition systems due to the language nature where there are no clear boundaries between words, the phonetic beginning and ending are influenced by neighbouring words, in addition to the variability in different speakers speech: male or female, young or senior, loud or low speech, read or spontaneous, emotional or formal, fast or slow speaking rate and the speech signal can be affected with environment noise. To avoid these difficulties the data driven statistical approach based on large quantities of spoken data is used. The performance of speech recognition systems is still far worse than that of humans. This is partly caused by the use of poor statistical models. In this paper, a comprehensive study of statistical methods for speech and language processing are presented. The role of signal processing in creating a reliable feature set for the recognizer and the role of statistical methods in enabling the recognizer to recognize the words of the spoken input sentence as well as the meaning associated with the recognized word sequence were presented.

Item Type:	Article (Journal)
Additional Information:	4119/29656
Uncontrolled Keywords:	Speech recognition, Speech coding, Statistical language modeling
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Assoc.Prof.Dr Jamal Daoud
Date Deposited:	23 Apr 2013 10:40
Last Modified:	26 Oct 2020 08:45
URI:	http://irep.iium.edu.my/id/eprint/29656

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