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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: AbuZeina, Dia (Autor), Elshafei, Moustafa (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Temas:
Signal processing.
Natural language processing (Computer science).
Computational linguistics.
Telecommunication.
User interfaces (Computer systems).
Human-computer interaction.
Oriental languages.
Signal, Speech and Image Processing .
Natural Language Processing (NLP).
Computational Linguistics.
Communications Engineering, Networks.
User Interfaces and Human Computer Interaction.
Oriental or Semitic Languages.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:X, 74 p. 15 illus., 1 illus. in color. online resource.
ISBN:9781461412137
ISSN:2191-7388

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