Cross-Word Modeling for Arabic Speech Recognition

by Dia AbuZeina, Moustafa Elshafei

Overview

Cross-Word Modeling for Arabic Speech Recognition utilizes phonological rules in order to model the cross-word problem, a merging of adjacent words in speech caused by continuous speech, to enhance the performance of continuous speech recognition systems. The author aims to provide an understanding of the cross-word problem and how it can be avoided, specifically focusing on Arabic phonology using an HHM-based classifier.

Product Details

ISBN-13:	9781461412120
Publisher:	Springer New York
Publication date:	11/24/2011
Series:	SpringerBriefs in Speech Technology
Edition description:	2012
Pages:	74
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

An Overview of Speech Recognition Systems.- Arabic Speech Recognition Systems.- The Baseline System.- Cross-Word Pronunciation Variations.- Modeling of Arabic Cross-Word Prononciation Variations.- Performance and Evaluation.