Cross-Word Modeling for Arabic Speech Recognition
(Sprache: Englisch)
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....
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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.
Klappentext zu „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.
Inhaltsverzeichnis zu „Cross-Word Modeling for Arabic Speech Recognition “
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.
Bibliographische Angaben
- Autoren: Dia AbuZeina , Moustafa Elshafei
- 2011, 2012, X, 74 Seiten, 1 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1461412129
- ISBN-13: 9781461412120
- Erscheinungsdatum: 24.11.2011
Sprache:
Englisch
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