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.

Zusammenfassung

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.

Produktdetails

• Autoren: Dia AbuZeina, Moustafa Elshafei, Di AbuZeina
• Verlag: Springer, Berlin
• Sprachen: Englisch
• Inhalt: Buch
• Produktform: Taschenbuch
• Erscheinungsdatum: 06.07.2011
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Elektronik, Elektrotechnik, Nachrichtentechnik; Geisteswissenschaften, Kunst, Musik > Sprach- und Literaturwissenschaft > Sonstige Sprachen / Sonstige Literaturen
• EAN: 9781461412120
• ISBN: 978-1-4614-1212-0
• Anzahl Seiten: 74
• Illustration: X, 74 p. 15 illus., 1 illus. in color.
• Abmessung (Verpackung): 15.5 x 23.5 cm
• Gewicht (Verpackung): 143 g
• 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
• Themen: C, Linguistics, Arabic, engineering, Electrical Engineering, Language: reference & general, Signal, Image and Speech Processing, Communications Engineering, Networks, Signal Processing, Speech processing systems, Digital and Analog Signal Processing, Image processing, Communications engineering / telecommunications, User interface design & usability, User Interfaces and Human Computer Interaction, User interfaces (Computer systems), Computational Linguistics, Arabic language, Natural language & machine translation, Natural Language Processing (NLP), Natural language processing (Computer science), Afro-Asiatic languages