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.

Sommario

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.

Riassunto

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.

Dettagli sul prodotto

• Autori: Di AbuZeina, Dia AbuZeina, Moustafa Elshafei
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 06.07.2011
• EAN: 9781461412120
• ISBN: 978-1-4614-1212-0
• Pagine: 74
• Peso: 143 g
• Illustrazioni: X, 74 p. 15 illus., 1 illus. in color.
• Serie: SpringerBriefs in Speech Technology; SpringerBriefs in Electrical and Computer Engineering; SpringerBriefs in Electrical and Computer Engineering / SpringerBriefs in Speech Technology; SpringerBriefs in Electrical and Computer Engineering; SpringerBriefs in Speech Technology
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni; Scienze umane, arte, musica > Scienze linguistiche e letterarie > Altre lingue / altre letterature