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Descripción Paperback or Softback. Condición: New. Speech Recognition for Arabic Language 0.3. Book. Nº de ref. del artículo: BBS-9783659566714
Descripción Condición: New. Nº de ref. del artículo: ABLING22Oct2817100474896
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Descripción PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9783659566714
Descripción Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -There is a dearth of scientific literature on speech recognition for Arabic language. Moreover, most of the research in this area is focused on using Romanized corpus which results in poor accuracy of speech recognition systems. This book presents a study of speech recognition for the Arabic language using a fully-diacritized corpus of an old classic Arabic book called Sahih Al-Bukhari. After comparing the accuracy of the Arabic speech recognition systems using the two types of corpora, this study has shown that better accuracy is achievable using fully-diacritized corpus rather than Romanized corpus. This conclusion can be used as a first step towards developing more accurate Arabic speech recognition systems and to encourage researchers to build extensive library of fully-diacritized corpora of old Arabic books. 84 pp. Englisch. Nº de ref. del artículo: 9783659566714
Descripción PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9783659566714
Descripción Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - There is a dearth of scientific literature on speech recognition for Arabic language. Moreover, most of the research in this area is focused on using Romanized corpus which results in poor accuracy of speech recognition systems. This book presents a study of speech recognition for the Arabic language using a fully-diacritized corpus of an old classic Arabic book called Sahih Al-Bukhari. After comparing the accuracy of the Arabic speech recognition systems using the two types of corpora, this study has shown that better accuracy is achievable using fully-diacritized corpus rather than Romanized corpus. This conclusion can be used as a first step towards developing more accurate Arabic speech recognition systems and to encourage researchers to build extensive library of fully-diacritized corpora of old Arabic books. Nº de ref. del artículo: 9783659566714
Descripción Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al-Bimani Ali Zahran SalimAli Zahran Salim Al-Bimani is a telecommunication engineer with B.Sc and M.Sc degrees in communication and signal processing engineering from Sultan Qaboos University (Oman). He is a team leader of Muscat mo. Nº de ref. del artículo: 5165250