Cross-Word Modeling for Arabic Speech Recognition

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.

Contents and results will be presented with help of an up-and-running ASR system Examines Arabic phonology, using an HHM-based classifier Uses phonological rules to overcome what is known as the cross-word problem Includes supplementary material: sn.pub/extras

Klappentext

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.

Inhalt
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.