Cross-Word Modeling for Arabic Speech Recognition :: SCD d'Orléans

Cross-Word Modeling for Arabic Speech Recognition

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...

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Bibliografski detalji
Glavni autori:	AbuZeina, Dia, Elshafei, Moustafa (Autor)
Format:	Livre numérique
Jezik:	Anglais
Izdano:	New York, NY : Springer New York 2012. Cham : Springer Nature
Serija:	SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
Online pristup:	Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL
Bilješka:	Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale)
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• Cross-Word Modeling for Arabic Speech Recognition, Texte imprimé, 9781461412120 • Cross-Word Modeling for Arabic Speech Recognition, Texte imprimé, 9781461412144

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