Titlebook: Novel Techniques for Dialectal Arabic Speech Recognition; Mohamed Elmahdy,Rainer Gruhn,Wolfgang Minker Book 2012 Springer Science+Business

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Phonemic Acoustic Modeling,imited research done in phonetic transcription. In this chapter, we address the problem of having only a small amount of dialectal Arabic speech data, for which it is possible to have a phonetic transcription. Initially, a phonemic acoustic model was trained using a large amount of Modern Standard A

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Graphemic Acoustic Modeling,d in the previous chapter. In this chapter, we tackle the problem of having only graphemic transcriptions instead of phonemic ones. The problem is tackled by adopting grapheme-based acoustic modeling. In this approach, phonetic transcription is approximated to be the word letters instead of the exac

Grasping

Phonetic Transcription Using the Arabic Chat Alphabet,ude the short vowels that are missing in traditional Arabic orthography. Furthermore, ACA transcriptions can be rapidly prepared, and for some transcribers, it is even more convenient rather than traditional orthography. Furthermore, we propose a phonetic transcription notation that is based on ACA

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Mohamed Elmahdy,Rainer Gruhn,Wolfgang Minkerution of the assignment problem.Discusses the connection betThis thesis discusses the random Euclidean bipartite matching problem, i.e., the matching problem between two different sets of points randomly generated on the Euclidean domain. The presence of both randomness and Euclidean constraints mak

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Mohamed Elmahdy,Rainer Gruhn,Wolfgang Minkerution of the assignment problem.Discusses the connection betThis thesis discusses the random Euclidean bipartite matching problem, i.e., the matching problem between two different sets of points randomly generated on the Euclidean domain. The presence of both randomness and Euclidean constraints mak

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