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130626 ||| eng |
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|a 9781461412137
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|a AbuZeina, Dia
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245 |
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|a Cross-Word Modeling for Arabic Speech Recognition
|h Elektronische Ressource
|c by Dia AbuZeina, Moustafa Elshafei
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250 |
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|a 1st ed. 2012
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260 |
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|a New York, NY
|b Springer New York
|c 2012, 2012
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300 |
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|a X, 74 p. 15 illus., 1 illus. in color
|b online resource
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505 |
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|a An Overview of Speech Recognition Systems -- Arabic Speech Recognition Systems -- The Baseline System -- Cross-Word Pronunciation Variations -- Modeling of Arabic Cross-Word Prononciation Variations.- Performance and Evaluation
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653 |
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|a User interfaces (Computer systems)
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653 |
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|a Computational Linguistics
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653 |
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|a Oriental or Semitic Languages
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653 |
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|a Oriental languages
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653 |
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|a Computational linguistics
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653 |
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|a Signal, Speech and Image Processing
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653 |
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|a Telecommunication
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653 |
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|a Communications Engineering, Networks
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653 |
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|a Natural Language Processing (NLP)
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653 |
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|a Signal processing
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653 |
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|a User Interfaces and Human Computer Interaction
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653 |
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|a Human-computer interaction
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653 |
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|a Natural language processing (Computer science)
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700 |
1 |
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|a Elshafei, Moustafa
|e [author]
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041 |
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7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
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|a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
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028 |
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|a 10.1007/978-1-4614-1213-7
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856 |
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|u https://doi.org/10.1007/978-1-4614-1213-7?nosfx=y
|x Verlag
|3 Volltext
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|a 621.382
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520 |
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|a 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
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