Cross-Word Modeling for Arabic Speech Recognition
Abuzeina, Dia; Elshafei, Moustafa
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Description for Cross-Word Modeling for Arabic Speech Recognition
paperback. 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. This title provides an understanding of the cross-word problem and how it can be avoided. Series: Springerbriefs in Electrical and Computer Engineering / Springerbriefs in Speech Technology. Num Pages: 74 pages, 14 black & white illustrations, 1 colour illustrations, 20 black & white tables, biography. BIC Classification: 2CSR; CFX; TTBM; UYQL; UYQS. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 298.
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.
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.
Product Details
Format
Paperback
Publication date
2011
Publisher
Springer United States
Number of pages
74
Condition
New
Series
Springerbriefs in Electrical and Computer Engineering / Springerbriefs in Speech Technology
Number of Pages
74
Place of Publication
New York, NY, United States
ISBN
9781461412120
SKU
V9781461412120
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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